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EJNMMI Research
H-index 24

EJNMMI Research

2191-219X

Published by: Springer

https://ejnmmires.springeropen.com/about

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 1102 156 201 21

Additional Metrics

Number of Best Scientists*: 297
Documents by Best Scientists*: 281
Top 100 Ranked Scientists*: 9
SCIMAGO H-index: 58
SCIMAGO SJR: 0.94
Impact Factor: 3

Overview

Top Research Topics at EJNMMI research?

EJNMMI research was organized to reinforce research efforts on Nuclear medicine, Cardiac imaging, Positron emission tomography, Pathology and Internal medicine. The work on Nuclear medicine tackled in it brings together disciplines like Prostate cancer and Biodistribution. It addresses concerns in Biodistribution which are intertwined with other disciplines, such as Ex vivo and Pharmacokinetics.

Cardiac imaging research presented in it encompasses a variety of subjects, including Lesion, PET-CT and Voxel. The research on Positron emission tomography tackled can also make contributions to studies in the areas of Cancer and Magnetic resonance imaging. Some problems in Pathology that were presented in the journal overlapped with concepts under Receptor, Cancer research, In vitro and Pharmacology.

While Internal medicine is the focus of it, it also provided insights into the studies of Gastroenterology, Endocrinology, Oncology and Cardiology. Dosimetry research presented is mostly focused on the subject of Absorbed dose.

  • Nuclear medicine (45.88%)
  • Cardiac imaging (38.70%)
  • Positron emission tomography (26.67%)

What are the most cited papers published in the journal?

  • Early side effects and first results of radioligand therapy with 177 Lu-DKFZ-617 PSMA of castrate-resistant metastatic prostate cancer: a two-centre study (197 citations)
  • Lower striatal dopamine D2/3 receptor availability in obese compared with non-obese subjects (140 citations)
  • A dimerized urea-based inhibitor of the prostate-specific membrane antigen for 68Ga-PET imaging of prostate cancer (128 citations)

Research areas of the most cited articles at EJNMMI research:

The published papers aim to foster the development of research in Nuclear medicine, Pathology, Cardiac imaging, Positron emission tomography and Radiology. Issues in Nuclear medicine were discussed in the most cited publications, taking into consideration concepts from other disciplines like Prostate cancer, Biodistribution and DOTA. The journal articles focus on Cardiac imaging but sometimes tackle the closely related topic of PET-CT which is concerned with Radiation treatment planning and Somatostatin receptor.

What topics the last edition of the journal is best known for?

  • Internal medicine
  • Cancer
  • Gene

The previous edition focused in particular on these issues:

The topics of Cardiac imaging, Nuclear medicine, Positron emission tomography, Standardized uptake value and Radiology are the focal point of discussions in EJNMMI research. It focuses on Cardiac imaging but also tackles concerns of closely connected disciplines like

  • PET-CT which connect with Biodistribution, Image noise, Preclinical imaging and Pathology,
  • Prospective cohort study that intertwine with fields like Angiogenesis.. The main emphasis of the journal is the research on Nuclear medicine, emphasizing the topic of Dosimetry.

The concepts on Positron emission tomography presented in the journal can also apply to other research fields, including Glioma, Cancer, Magnetic resonance imaging and Effective dose (radiation). It explores topics in Standardized uptake value which can be helpful for research in disciplines like Lesion, Prostate cancer and Fdg pet ct. The studies in Radiology featured incorporate elements of Breast cancer, Nomogram and Retrospective cohort study.

The most cited articles from the last journal are:

  • Clinical results of fibroblast activation protein (FAP) specific PET for non-malignant indications: systematic review. (6 citations)
  • Nanobody: a promising toolkit for molecular imaging and disease therapy (5 citations)
  • Preliminary study of AI-assisted diagnosis using FDG-PET/CT for axillary lymph node metastasis in patients with breast cancer (4 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

The top authors publishing in EJNMMI research (based on the number of publications) are:

  • Ronald Boellaard (30 papers) published 4 papers at the last edition, 3 more than at the previous edition,
  • Adriaan A. Lammertsma (24 papers) absent at the last edition,
  • Hans-Jürgen Wester (17 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Markus Schwaiger (17 papers) published 1 paper at the last edition,
  • Frank Hofheinz (15 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Only papers with recognized affiliations are considered

The top affiliations publishing in EJNMMI research (based on the number of publications) are:

  • Technische Universität München (46 papers) published 8 papers at the last edition, 1 more than at the previous edition,
  • VU University Medical Center (36 papers) published 1 paper at the last edition,
  • University Medical Center Groningen (30 papers) published 7 papers at the last edition, 3 more than at the previous edition,
  • Karolinska University Hospital (30 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Lund University (27 papers) published 1 paper at the last edition, 1 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 0.92% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.93% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.33% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.15% of all publications and 42.59% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Articles by Career Stage of Authors

The diversity of the authors' career stages can contribute to the richness of research presented in a journal. Assessing the distribution of authors by career stage can reveal interesting patterns and trends, and also attest to the inclusivity and diversity of the journal. Below, we examine the career stage of authors who have published in EJNMMI research. The career stages are categorized as follows: early career (0-10 years post-PhD), mid-career (11-20 years post-PhD), and senior career (21+ years post-PhD), based on the years of experience after obtaining a Ph.D. For instance, if you are an early-career researcher intending to publish your article in EJNMMI research, it would be prudent to understand the [pennsylvania nursing license requirements nursing license cost](/careers/pennsylvania-nursing-license-requirements) and review the research trends of authors at the same career stage. This examination provides insight into the patterns of articles published by authors at various career stages, which can be instrumental for early-career researchers to frame their research for the highest likelihood of acceptance. These insights can also aid in understanding the diversity and inclusivity of EJNMMI research in terms of accepting and publishing articles from authors across different career stages. In the future, it would be interesting to analyze how the career stage of authors correlates with the number of citations their articles garner. This could provide pivotal information on the influence of career stage on the impact of research.

Top Publications

  • Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks.

    Karim Armanious;Tobias Hepp;Thomas Küstner;Helmut Dittmann

    (2020)
    52 Citations
  • External validation: a simulation study to compare cross-validation versus holdout or external testing to assess the performance of clinical prediction models using PET data from DLBCL patients

    (2022)
    51 Citations
  • Clinical results of fibroblast activation protein (FAP) specific PET for non-malignant indications: systematic review.

    Paul Windisch;Daniel R. Zwahlen;Frederik L. Giesel;Eberhard Scholz;Eberhard Scholz

    (2021)
    40 Citations
  • First-in-human use of 11C-CPPC with positron emission tomography for imaging the macrophage colony-stimulating factor 1 receptor

    (2022)
    37 Citations
  • A three-stage, deep learning, ensemble approach for prognosis in patients with Parkinson’s disease

    Kevin H. Leung;Steven P. Rowe;Martin G. Pomper;Yong Du

    (2021)
    37 Citations
  • Predictive value of quantitative 18F-FDG-PET radiomics analysis in patients with head and neck squamous cell carcinoma.

    Roland M. Martens;Thomas Koopman;Daniel P. Noij;Elisabeth Pfaehler

    (2020)
    36 Citations
  • Deep learning and radiomics framework for PSMA-RADS classification of prostate cancer on PSMA PET

    (2022)
    35 Citations
  • Quantitative 18F-FDG PET-CT scan characteristics correlate with tuberculosis treatment response.

    Stephanus T. Malherbe;Stephanus T. Malherbe;Ray Y. Chen;Patrick Dupont;Patrick Dupont;Ilse Kant

    (2020)
    34 Citations
  • FDG PET versus CT radiomics to predict outcome in malignant pleural mesothelioma patients.

    M. Pavic;M. Bogowicz;J. Kraft;D. Vuong

    (2020)
    32 Citations
  • Fluorescent image-guided surgery in breast cancer by intravenous application of a quenched fluorescence activity-based probe for cysteine cathepsins in a syngeneic mouse model.

    Frans V Suurs;Si-Qi Qiu;Si-Qi Qiu;Joshua J Yim;Carolien P Schröder

    (2020)
    32 Citations

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Best Scientists Contributing to This Journal