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Theranostics
H-index 98

Theranostics

1838-7640

Published by: Ivyspring International Publisher

https://www.thno.org/

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Medicine 139 347 393 62

Additional Metrics

Number of Best Scientists*: 1383
Documents by Best Scientists*: 1275
Top 100 Ranked Scientists*: 38
SCIMAGO H-index: 177
SCIMAGO SJR: 3.37
Impact Factor: 13.3

Overview

Top Research Topics at Theranostics?

The journal mainly deals with areas of study such as Cancer research, In vivo, Cell biology, Cancer and Cancer cell. The majority of Cancer research studies are focused on the issues of Tumor microenvironment. Topics in In vivo were tackled in line with various other fields like In vitro, Biophysics, Drug delivery, Pathology and Pharmacology.

It explores the study of Drug delivery to improve our understanding of the broader topic of Nanotechnology.

  • Cancer research (35.99%)
  • In vivo (23.73%)
  • Cell biology (12.26%)

What are the most cited papers published in the journal?

  • Biomedical applications of graphene. (660 citations)
  • Progress in Exosome Isolation Techniques. (660 citations)
  • Targeting Strategies for Multifunctional Nanoparticles in Cancer Imaging and Therapy (578 citations)

Research areas of the most cited articles at Theranostics:

The most cited articles explore disciplines such as Nanotechnology, Cancer research, In vivo, Drug delivery and Pathology. While the most cited publications focused on Cancer research, they were also able to explore topics like Cancer cell, Cancer, Metastasis and Immunology. The featured In vivo studies in the published papers mainly concentrate on Biomedical engineering but also cover areas of interest in Microbubbles.

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

  • Gene
  • Internal medicine
  • Cancer

The previous edition focused in particular on these issues:

The journal is mainly concerned with subjects like Cancer research, In vivo, Cell biology, Cancer and Tumor microenvironment. Aside from discussions in Cancer research, the journal also deals with the subject of Metastasis which intersects with Carcinogenesis disciplines. Topics in In vivo explored in Theranostics were investigated in conjunction with research in Biophysics, In vitro, Drug delivery and Pharmacology.

Pharmacology study tackled is connected to the field of Inflammation. Cell biology research featured in Theranostics incorporates concerns from various other topics such as Microvesicles and Downregulation and upregulation. The journal is focused mainly on Immune system, particularly Immunotherapy.

The most cited articles from the last journal are:

  • Immunopathogenesis and treatment of cytokine storm in COVID-19. (46 citations)
  • Engineering exosomes for targeted drug delivery (34 citations)
  • Strategies in the delivery of Cas9 ribonucleoprotein for CRISPR/Cas9 genome editing. (29 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 Theranostics (based on the number of publications) are:

  • Xiaoyuan Chen (71 papers) published 2 papers at the last edition, 3 less than at the previous edition,
  • Gang Niu (33 papers) absent at the last edition,
  • Gang Liu (17 papers) absent at the last edition,
  • Daxiang Cui (17 papers) absent at the last edition,
  • Zhigang Wang (15 papers) published 2 papers at the last edition, 1 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 Theranostics (based on the number of publications) are:

  • Chinese Academy of Sciences (214 papers) published 20 papers at the last edition, 35 less than at the previous edition,
  • Shanghai Jiao Tong University (200 papers) published 47 papers at the last edition, 3 less than at the previous edition,
  • Sun Yat-sen University (155 papers) published 25 papers at the last edition, 23 less than at the previous edition,
  • Fudan University (135 papers) published 27 papers at the last edition, 16 less than at the previous edition,
  • Huazhong University of Science and Technology (134 papers) published 30 papers at the last edition, 13 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, 1.02% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 32.53% were posted by at least one author from the top 10 institutions publishing in the journal. Another 14.11% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.79% of all publications and 33.56% 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.

Top Publications

  • The EPR effect and beyond: Strategies to improve tumor targeting and cancer nanomedicine treatment efficacy.

    Yang Shi;Roy van der Meel;Xiaoyuan Chen;Twan Lammers;Twan Lammers;Twan Lammers

    (2020)
    754 Citations
  • Ferroptosis as a novel therapeutic target for cardiovascular disease.

    Xiaoguang Wu;Yi Li;Shuchen Zhang;Xiang Zhou

    (2021)
    394 Citations
  • Nanocarrier-based drug combination therapy for glioblastoma.

    Mengnan Zhao;Demian van Straten;Marike L. D. Broekman;Veronique Preat

    (2020)
    293 Citations
  • Pathophysiology of blood brain barrier dysfunction during chronic cerebral hypoperfusion in vascular cognitive impairment

    (2022)
    195 Citations
  • Exosomal miR-125b-5p deriving from mesenchymal stem cells promotes tubular repair by suppression of p53 in ischemic acute kidney injury.

    Jing-Yuan Cao;Bin Wang;Tao-Tao Tang;Yi Wen

    (2021)
    181 Citations
  • Coronary microvascular injury in myocardial infarction: perception and knowledge for mitochondrial quality control.

    Xing Chang;Amanda Lochner;Hsueh-Hsiao Wang;Shuyi Wang

    (2021)
    176 Citations
  • Mast cells as a unique hematopoietic lineage and cell system: From Paul Ehrlich's visions to precision medicine concepts.

    Peter Valent;Cem Akin;Karin Hartmann;Gunnar Nilsson

    (2020)
    170 Citations
  • SCD1/FADS2 fatty acid desaturases equipoise lipid metabolic activity and redox-driven ferroptosis in ascites-derived ovarian cancer cells

    (2021)
    168 Citations
  • Nerve growth factor activates autophagy in Schwann cells to enhance myelin debris clearance and to expedite nerve regeneration.

    Rui Li;Rui Li;Duohui Li;Chengbiao Wu;Libing Ye

    (2020)
    161 Citations
  • A COX-2/sEH dual inhibitor PTUPB alleviates lipopolysaccharide-induced acute lung injury in mice by inhibiting NLRP3 inflammasome activation.

    Hui-Hui Yang;Jia-Xi Duan;Shao-Kun Liu;Jian-Bing Xiong

    (2020)
    149 Citations

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