He Hu

1.6k citations
37 papers · 1.3k · h-index 15

Impact in

    • Reproductive tract infections research
  • Immunology top 10%
    • Reproductive System and Pregnancy
    • Immune Response and Inflammation
    • Atherosclerosis and Cardiovascular Diseases

Papers in

He Hu

33 papers receiving 1.3k citations

Peers

He Hu
Comparison fields: 5 of 124
  • Microbiology 435
  • Immunology 333
  • Cancer Research 150
  • Epidemiology 294
  • Endocrinology 35
Replace Youngnim Choi with:
Youngnim Choi South Korea
Jessica Cooley United States
Richard S. Berk United States
Ji Hyun Kim South Korea
Chao Wu China
Reiko Kobayashi Japan
Kenichi Ogata Japan
Salvador Benlloch Spain
Karen Ege Olsen Denmark
Shu-Chen Lyu United States
He Hu relative to Youngnim Choi South Korea Youngnim Choi's profile →
Citations per field
00.5×1.5×2.1×
Youngnim Choi · 1×
Citations per year

Countries citing papers authored by He Hu

Since Specialization
Citations

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

Fields of papers citing papers by He Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998473
2 1999226
3 201479
4 201460
5
Down-regulation of microRNA-155 attenuates retinal neovascularization via the PI3K/Akt pathway.
201554
6 200047
7 201442
8 201933
9 201926
10 201825
11 201225
12 201621
13 201120
14 201214
15 201914
16 202014
17 201413
18 201712
19 201212
20 201610

About He Hu

He Hu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Epidemiology, Cancer Research and Atomic and Molecular Physics, and Optics, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (4 papers), Sustainability and Ecological Systems Analysis (3 papers), Circular RNAs in diseases (3 papers), Laser-Matter Interactions and Applications (3 papers), Environmental Impact and Sustainability (3 papers), Reproductive tract infections research (3 papers), MicroRNA in disease regulation (3 papers) and Global Energy and Sustainability Research (2 papers). The work is most often cited by research in Microbiology (435 citations), Immunology (333 citations), Cancer Research (150 citations), Epidemiology (294 citations) and Endocrinology (35 citations). He Hu has collaborated with scholars based in China, Canada and Mongolia. Frequent co-authors include Guangming Zhong, Grant N. Pierce, Hang Lu, Dwight M. Nance, Grant McClarty, Tao Fan, Lianfa Shi, Arnold H. Greenberg, Xiaohong Zhang and He Huang. Their work appears in journals such as PLoS ONE, Ecological Indicators, Laser & Photonics Review, Light Science & Applications and Optics & Laser Technology.

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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