Heping Zhou

2.7k citations
53 papers · 2.0k · h-index 22

Impact in

Papers in

Heping Zhou

53 papers receiving 2.0k citations

Peers

Heping Zhou
Comparison fields: 5 of 123
  • Biological Psychiatry 57
  • Radiology, Nuclear Medicine and Imaging 457
  • Molecular Biology 1.1k
  • Health Informatics 19
  • Behavioral Neuroscience 48
Replace Huaqiao Wang with:
Huaqiao Wang China
Ahmed Eleojo Musa Iran
Narasimha M. Beeraka Russia
Hyun Joo Shin South Korea
John I. Lew United States
Ying Cui China
Roberta Pastorelli Italy
Vita Dolžan Slovenia
Markus M. Rinschen Germany
Heping Zhou relative to Huaqiao Wang China Huaqiao Wang's profile →
Citations per field
00.5×5.3×
Huaqiao Wang · 1×
Citations per year

Countries citing papers authored by Heping Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Heping Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003290
2 2020130
3 2010127
4 2004116
5 2020106
6 2006103
7 200097
8 199788
9 200586
10 199786
11 200972
12 201368
13 200361
14 202052
15 200552
16 201345
17 201540
18 202134
19 202132
20 202331

About Heping Zhou

Heping Zhou is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery, Immunology and Epidemiology, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Immune Response and Inflammation (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Biosensing Techniques and Applications (5 papers), COVID-19 Clinical Research Studies (4 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Biological Psychiatry (57 citations), Radiology, Nuclear Medicine and Imaging (457 citations), Molecular Biology (1.1k citations), Health Informatics (19 citations) and Behavioral Neuroscience (48 citations). Heping Zhou has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Brian B. Haab, Robert H. Costa, Lorena Lim, Bin S. Teh, Jeremy C. Miller, Joshua C. Kwekel, E. Brian Butler, Rossana Cavallo, Jocelyn F. Burke and Sulie L. Chang. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Molecular and Cellular Cardiology, Journal of Inflammation Research, PROTEOMICS and Neurosurgical Review.

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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