Jun Pu

10.2k citations
354 papers · 7.7k · 1 hit paper · h-index 47

Impact in

Papers in

Jun Pu

337 papers receiving 7.6k citations

Jun Pu's Hit Papers

Integrating single-cell RNA and T cell/B cell receptor sequencing with mass cytometry reveals dynamic trajectories of human peripheral immune cells from birth to old age 2025 · 60 citations
600Years since publication204060

Peers

Jun Pu
Comparison fields: 5 of 168
  • Cardiology and Cardiovascular Medicine 1.4k
  • Endocrine and Autonomic Systems 259
  • Aging 72
  • Molecular Biology 2.5k
  • Radiology, Nuclear Medicine and Imaging 688
Replace Takeshi Matsumura with:
Takeshi Matsumura Japan
Stefan Chłopicki Poland
Thomas Krieg United Kingdom
Carmine Vecchione Italy
Daniel Henrion France
Hans‐Peter Hammes Germany
Xinliang Ma United States
Tomomi Ide Japan
Rosalinda Madonna Italy
Petra Kleinbongard Germany
Jun Pu relative to Takeshi Matsumura Japan Takeshi Matsumura's profile →
Citations per field
00.5×2×3×4×4.6×
Takeshi Matsumura · 1×
Citations per year

Countries citing papers authored by Jun Pu

Since Specialization
Citations

This map shows the geographic impact of Jun Pu'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 Jun Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Pu more than expected).

Fields of papers citing papers by Jun Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Pu. 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 Jun Pu. The network helps show where Jun Pu may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Pu, 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 Jun Pu Line = papers co-authored together Jun Pu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 354 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012182
2 2019181
3 2021177
4 2014176
5 2014145
6 2016138
7 2012122
8 2020119
9 2011116
10 2020109
11 2016106
12 2019103
13 202096
14 201894
15 201091
16 201191
17 201589
18 202287
19 201884
20 201983

About Jun Pu

Jun Pu is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology and Surgery, having authored 354 papers that have together received 7.7k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (35 papers), Coronary Interventions and Diagnostics (22 papers), Acute Myocardial Infarction Research (22 papers), Atrial Fibrillation Management and Outcomes (18 papers), Cardiovascular Function and Risk Factors (16 papers), Cardiac electrophysiology and arrhythmias (11 papers), Atherosclerosis and Cardiovascular Diseases (11 papers) and Metabolomics and Mass Spectrometry Studies (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Endocrine and Autonomic Systems (259 citations), Aging (72 citations), Molecular Biology (2.5k citations) and Radiology, Nuclear Medicine and Imaging (688 citations). Jun Pu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ben He, Ancai Yuan, Song Z. Ding, Yichao Zhao, Longwei Xu, Jian Zhang, Shaoyong Lu, Lingchen Gao, Duan Ni and Yuanyuan Su. Their work appears in journals such as Frontiers in Cardiovascular Medicine, International Journal of Cardiology, Scientific Reports, European Heart Journal and Journal of Magnetic Resonance Imaging.

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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