Ben He

2.2k citations
80 papers · 1.5k · h-index 22

Impact in

Papers in

Ben He

75 papers receiving 1.5k citations

Peers

Ben He
Comparison fields: 5 of 102
  • Nephrology 292
  • Critical Care and Intensive Care Medicine 64
  • Cardiology and Cardiovascular Medicine 279
  • Immunology 190
  • Cancer Research 105
Replace Olivia Lenoir with:
Olivia Lenoir France
Koji Ohmori Japan
Ting C. Zhao United States
Geurt Stokman Netherlands
Naifeng Liu China
Radovan Vasko Germany
Daiju Fukuda Japan
Usha Panchapakesan Australia
Bardia Askari United States
Brian S. Cain United States
Ben He relative to Olivia Lenoir France Olivia Lenoir's profile →
Citations per field
00.5×3.7×
Olivia Lenoir · 1×
Citations per year

Countries citing papers authored by Ben He

Since Specialization
Citations

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

Fields of papers citing papers by Ben He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008202
2 201093
3 202272
4 201464
5 201657
6 200653
7 202151
8 201248
9 201446
10 201745
11 201043
12 201442
13 200937
14 201334
15 201632
16 200831
17 200626
18 201624
19 201723
20 200523

About Ben He

Ben He is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Immunology, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (7 papers), Acute Kidney Injury Research (7 papers), Acute Myocardial Infarction Research (7 papers), Signaling Pathways in Disease (6 papers), Macrophage Migration Inhibitory Factor (5 papers), Cardiac Imaging and Diagnostics (5 papers), Coronary Interventions and Diagnostics (5 papers) and Cardiac Structural Anomalies and Repair (3 papers). The work is most often cited by research in Nephrology (292 citations), Critical Care and Intensive Care Medicine (64 citations), Cardiology and Cardiovascular Medicine (279 citations), Immunology (190 citations) and Cancer Research (105 citations). Ben He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Heng Ge, Linghong Shen, Wei Yuan, Jun Pu, Leyi Gu, Ling Wang, Zhaohui Ni, Jianping Liu, Tuo Zhang and Liuhua Hu. Their work appears in journals such as International Journal of Cardiology, PLoS ONE, Journal of the American Society of Echocardiography, Frontiers in Cardiovascular Medicine and Journal of Molecular and Cellular Cardiology.

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.

Explore authors with similar magnitude of impact