Bin Hu

5.7k citations
148 papers · 3.3k indexed · 1 hit paper · h-index 32

Bin Hu

144 papers receiving 3.2k citations

Hit Papers

Identification of mobile genetic elements with geNomad3012023202620242025100200300

Peers

Bin Hu
Comparison fields: 5 of 156
  • Endocrinology 195
  • Cancer Research 429
  • Molecular Biology 1.7k
  • Pathology and Forensic Medicine 309
  • Orthopedics and Sports Medicine 133
Replace Nancy Wang with:
Nancy Wang United States
Kosuke Tashiro Japan
Shih-Feng Tsai Taiwan
Ralph Schlapbach Switzerland
Liang Zhang China
Bryan Krastins United States
Shinobu Imajoh‐Ohmi Japan
Zihao He China
Simon J. McGowan United Kingdom
Bin Hu relative to Nancy Wang United States Nancy Wang's profile →
Citations per field
00.5×4.2×
Nancy Wang · 1×
Citations per year

Countries citing papers authored by Bin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20242
4 20243
5 20226
6 20222
7 20228
8 2021104
9 202113
10 202114
11 20208
12 20203
13 201624
14 201455
15 201436
16 201275
17 201129
18 20100
19 2009109
20
[Association of polymorphisms of 1772 (C-->T) and 1790 (G-->A) in HIF1A gene with hypoxia adaptation in high altitude in Sherpas].
20074

About Bin Hu

Bin Hu is a scholar working on Endocrinology, Molecular Biology, Cancer Research, Orthopedics and Sports Medicine and Genetics, having authored 148 papers that have together received 3.3k indexed citations. Recurring topics across this work include Escherichia coli research studies (11 papers), Bacteriophages and microbial interactions (9 papers), Genomics and Phylogenetic Studies (9 papers), Viral gastroenteritis research and epidemiology (9 papers), Cancer Mechanisms and Therapy (7 papers), Ubiquitin and proteasome pathways (6 papers), Bone Metabolism and Diseases (6 papers) and Bone health and osteoporosis research (6 papers). The work is most often cited by research in Endocrinology (195 citations), Cancer Research (429 citations), Molecular Biology (1.7k citations), Pathology and Forensic Medicine (309 citations) and Orthopedics and Sports Medicine (133 citations). Bin Hu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mariano S. Viapiano, Paul B. Fisher, Swadesh K. Das, Devanand Sarkar, Patrick Chain, Hosung Sim, Luni Emdad, Masaru Tomita, Antônio Pedro Camargo and Nikos C. Kyrpides. Their work appears in journals such as PLoS ONE, Cancer Research, Bioinformatics, Scientific Reports and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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2026