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Journal of Nuclear Cardiology
H-index 26

Journal of Nuclear Cardiology

1071-3581

Published by: Springer

https://www.springer.com/journal/12350

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 877 169 415 25

Additional Metrics

Number of Best Scientists*: 243
Documents by Best Scientists*: 485
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 93
SCIMAGO SJR: 0.585
Impact Factor: 2.7

Overview

Top Research Topics at Journal of Nuclear Cardiology?

Journal of Nuclear Cardiology was organized to reinforce research efforts on Internal medicine, Cardiology, Nuclear medicine, Radiology and Myocardial perfusion imaging. Journal of Nuclear Cardiology explores themes in Internal medicine like Perfusion, Coronary artery disease, Myocardial infarction and Ejection fraction and links them with other fields of study like In patient. More specifically, the research on Myocardial infarction in it is related to Electrocardiography in myocardial infarction.

Journal of Nuclear Cardiology focuses on different Cardiology studies like Perfusion scanning, Gated SPECT, Heart failure, Ischemia and Blood flow. Most of the Nuclear medicine studies addressed also intersect with Tomography. The journal focuses on Radiology research which is adjacent to topics in MEDLINE.

  • Internal medicine (53.95%)
  • Cardiology (51.85%)
  • Nuclear medicine (21.76%)

What are the most cited papers published in the journal?

  • Prognostic value of gated myocardial perfusion SPECT. (561 citations)
  • Single photon-emission computed tomography (500 citations)
  • Diagnostic accuracy of rest/stress ECG-gated Rb-82 myocardial perfusion PET: Comparison with ECG-gated Tc-99m sestamibi SPECT (427 citations)

Research areas of the most cited articles at Journal of Nuclear Cardiology:

The journal papers are organized to address concerns in the fields of Internal medicine, Cardiology, Nuclear medicine, Radiology and Myocardial perfusion imaging. The most cited articles cover research in Internal medicine, particularly Coronary artery disease, Ejection fraction, Dipyridamole and Blood flow and how it is related with concepts in In patient. The journal articles explore topics in Nuclear medicine which can be helpful for research in disciplines like Tomography and Gated SPECT.

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

  • Internal medicine
  • Cardiology
  • Radiology

The previous edition focused in particular on these issues:

Journal of Nuclear Cardiology focuses largely on the fields of Internal medicine, Cardiology, MEDLINE, Myocardial perfusion imaging and Nuclear medicine. Coronary artery disease, Heart failure, Myocardial infarction and Ischemia research are fields of study within Internal medicine but they also intertwine with concepts in In patient. The research on Cardiology featured in it combines topics in other fields like Text mining and Positron emission tomography.

The work on MEDLINE tackled in Journal of Nuclear Cardiology brings together disciplines like Medical physics and Radiology. The journal emphasizes research on Radiology, which includes concerns such as Fdg pet ct. Journal of Nuclear Cardiology features studies on Nuclear medicine, including topics such as PET-CT.

The most cited articles from the last journal are:

  • Value of intraventricular dyssynchrony assessment by gated-SPECT myocardial perfusion imaging in the management of heart failure patients undergoing cardiac resynchronization therapy (VISION-CRT). (29 citations)
  • Absolute myocardial blood flows derived by dynamic CZT scan vs invasive fractional flow reserve: Correlation and accuracy. (26 citations)
  • Cardiac imaging for the assessment of patients being evaluated for kidney or liver transplantation. (25 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 Journal of Nuclear Cardiology (based on the number of publications) are:

  • Daniel S. Berman (174 papers) published 6 papers at the last edition, 7 less than at the previous edition,
  • Ami E. Iskandrian (163 papers) published 14 papers at the last edition, 7 more than at the previous edition,
  • Alberto Cuocolo (135 papers) published 9 papers at the last edition, 7 less than at the previous edition,
  • Gary V. Heller (127 papers) absent at the last edition,
  • Piotr J. Slomka (127 papers) published 19 papers at the last edition, 2 more than at the previous 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 Journal of Nuclear Cardiology (based on the number of publications) are:

  • University of Alabama at Birmingham (285 papers) published 18 papers at the last edition, 3 less than at the previous edition,
  • Yale University (209 papers) published 15 papers at the last edition, 8 less than at the previous edition,
  • Emory University (207 papers) published 10 papers at the last edition, 8 less than at the previous edition,
  • Cedars-Sinai Medical Center (200 papers) published 20 papers at the last edition, 5 less than at the previous edition,
  • University of Ottawa (162 papers) published 25 papers at the last edition, 6 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, 10.86% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.73% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.22% of all publications and 51.05% 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.

Career Opportunities in Nuclear Cardiology

The field of nuclear cardiology offers an array of fulfilling career paths. One of the promising roles in this domain is being a nurse practitioner specializing in nuclear cardiology. Nurse practitioners work with a diverse group of patients and greatly contribute to the research and development of this field.

A career as a nurse practitioner in nuclear cardiology necessitates a deep understanding of internal medicine, cardiology, and nuclear medicine. This professional will work with a team involved in the research studies like of Perfusion scanning, Gated SPECT, Heart failure, Ischemia and Blood flow. Majority of these studies also intersect with radiology and tomography.

Investing in this career field requires rigorous academic and practical preparation. It also requires constant learning and staying up-to-date with the latest research and developments, such as those published in journals like the Journal of Nuclear Cardiology.

Would you like to learn more about how to become a nurse practitioner specializing in nuclear cardiology in Alaska? For more detailed information, check out our career guide {how to be a nurse practitioner in Alaska}.

Top Publications

  • A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study

    Tonghe Wang;Yang Lei;Haipeng Tang;Zhuo He

    (2020)
    130 Citations
  • Rationale and design of the REgistry of Fast Myocardial Perfusion Imaging with NExt generation SPECT (REFINE SPECT).

    Piotr J. Slomka;Julian Betancur;Joanna X. Liang;Yuka Otaki

    (2020)
    113 Citations
  • Cardiac fibroblast activation detected by Ga-68 FAPI PET imaging as a potential novel biomarker of cardiac injury/remodeling

    J. Siebermair;M. I. Köhler;J. Kupusovic;S. G. Nekolla

    (2021)
    81 Citations
  • Guidance and best practices for nuclear cardiology laboratories during the coronavirus disease 2019 (COVID-19) pandemic: An Information Statement from ASNC and SNMMI

    (2020)
    58 Citations
  • Imaging of cardiac fibroblast activation in a patient after acute myocardial infarction using 68 Ga-FAPI-04

    Susan Notohamiprodjo;Stephan G Nekolla;Stephanie Robu;Alberto Villagran Asiares

    (2021)
    53 Citations
  • Optimization of reconstruction and quantification of motion-corrected coronary PET-CT

    Mhairi K. Doris;Yuka Otaki;Sandeep K. Krishnan;Jacek Kwiecinski;Jacek Kwiecinski

    (2020)
    50 Citations
  • Machine learning in the integration of simple variables for identifying patients with myocardial ischemia

    Luis Eduardo Juarez-Orozco;Remco J.J. Knol;Carlos A. Sanchez-Catasus;Octavio Martinez-Manzanera

    (2020)
    50 Citations
  • Technetium pyrophosphate nuclear scintigraphy for cardiac amyloidosis: Imaging at 1 vs 3 hours and planar vs SPECT/CT.

    Brett W Sperry;Eric Burgett;Kevin A Bybee;A Iain McGhie

    (2020)
    46 Citations
  • Addendum to ASNC/AHA/ASE/EANM/HFSA/ISA/SCMR/SNMMI expert consensus recommendations for multimodality imaging in cardiac amyloidosis: Part 1 of 2-evidence base and standardized methods of imaging.

    Sharmila Dorbala;Yukio Ando;Sabahat Bokhari;Angela Dispenzieri

    (2021)
    46 Citations
  • FDG-PET in possible cardiac sarcoidosis: Right ventricular uptake and high total cardiac metabolic activity predict cardiovascular events

    Heikki Tuominen;Atte Haarala;Antti Tikkakoski;Mika Kähönen

    (2021)
    38 Citations

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