Jin Endo

83 papers receiving 3.5k citations

Jin Endo's Hit Papers

Temporal dynamics of cardiac immune cell accumulation following acute myocardial infarction 2013 · 484 citations
4840+4+8Years since publication100200300400

Peers

Jin Endo
Comparison fields: 5 of 119
  • Developmental Neuroscience 225
  • Cardiology and Cardiovascular Medicine 1.1k
  • Biochemistry 193
  • Immunology 534
  • Physiology 621
Replace Guro Valen with:
Guro Valen Sweden
Cesario Bianchi United States
Nick E.J. West United Kingdom
Monica Salio Italy
Neel R. Sodha United States
Anna Cargnoni Italy
Chunyu Zeng China
Masaya Tanno Japan
Tamás Radovits Hungary
Richard Clements United States
Jin Endo relative to Guro Valen Sweden Guro Valen's profile →
Citations per field
00.5×
Guro Valen · 1×
Citations per year

Countries citing papers authored by Jin Endo

Since Specialization
Citations

This map shows the geographic impact of Jin Endo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin Endo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Endo more than expected).

Fields of papers citing papers by Jin Endo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Endo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin Endo. The network helps show where Jin Endo may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin Endo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin Endo Line = papers co-authored together Jin Endo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Temporal dynamics of cardiac immune cell accumulation following acute myocardial infarction
Hit paper breakdown →
2013484
2 2008412
3 2015262
4 2016207
5 2018190
6 2015161
7 2014138
8 2012136
9 2021132
10 2010127
11 2010109
12 202299
13 200792
14 200766
15 202152
16 202149
17 200747
18 201540
19 201538
20 201237

About Jin Endo

Jin Endo is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Physiology and Surgery, having authored 86 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (17 papers), Pulmonary Hypertension Research and Treatments (15 papers), Adipose Tissue and Metabolism (11 papers), Cardiac Fibrosis and Remodeling (10 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (10 papers), Tissue Engineering and Regenerative Medicine (6 papers), Eosinophilic Disorders and Syndromes (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Developmental Neuroscience (225 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Biochemistry (193 citations), Immunology (534 citations) and Physiology (621 citations). Jin Endo has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Keiichi Fukuda, Motoaki Sano, Makoto Arita, Yoshinori Katsumata, Ken Shinmura, Tsunehisa Yamamoto, Tomohiro Matsuhashi, Atsushi Anzai, Xiaoxiang Yan and Kohsuke Shirakawa. Their work appears in journals such as Journal of Molecular and Cellular Cardiology, Circulation Research, Journal of the American Heart Association, Biochemical and Biophysical Research Communications and PLoS ONE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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