Bin Hu
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Genomics and Phylogenetic Studies 9
- Bone Metabolism and Diseases 6
- Ubiquitin and proteasome pathways 6
- Genetics 24
- Co-authors
- Mariano S. Viapiano (6 shared papers)Paul B. Fisher (9 shared papers)Swadesh K. Das (9 shared papers)Devanand Sarkar (9 shared papers)Hosung Sim (3 shared papers)Patrick Chain (9 shared papers)Luni Emdad (8 shared papers)Masaru Tomita (3 shared papers)
- Journals
- PLoS ONE (5 papers)Cancer Research (4 papers)Bioinformatics (4 papers)Scientific Reports (3 papers)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bin Hu
144 papers receiving 3.2k citations
Bin Hu's Hit Papers
Peers
Comparison fields: 5 of 156
- Endocrinology 195
- Cancer Research 429
- Molecular Biology 1.7k
- Pathology and Forensic Medicine 309
- Orthopedics and Sports Medicine 133
Countries citing papers authored by Bin Hu
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
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-authors
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.
All Works
Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of mobile genetic elements with geNomad Hit paper breakdown → | 2023 | 301 |
| 2 | 2019 | 136 | |
| 3 | 2004 | 112 | |
| 4 | 2009 | 109 | |
| 5 | 2021 | 104 | |
| 6 | 2006 | 96 | |
| 7 | 2013 | 84 | |
| 8 | 2008 | 76 | |
| 9 | 2012 | 75 | |
| 10 | 2014 | 73 | |
| 11 | 2013 | 69 | |
| 12 | 2002 | 64 | |
| 13 | 2007 | 64 | |
| 14 | 2015 | 63 | |
| 15 | 2018 | 57 | |
| 16 | 2014 | 55 | |
| 17 | 2011 | 52 | |
| 18 | 2013 | 51 | |
| 19 | 2013 | 47 | |
| 20 | 2008 | 47 |
About Bin Hu
Bin Hu is a scholar working on Molecular Biology, Genetics, Oncology, Infectious Diseases and Cancer Research, having authored 148 papers that have together received 3.3k indexed citations. Recurring topics across this work include Escherichia coli research studies (11 papers), Genomics and Phylogenetic Studies (9 papers), Bacteriophages and microbial interactions (9 papers), Viral gastroenteritis research and epidemiology (9 papers), Cancer Mechanisms and Therapy (7 papers), Bone health and osteoporosis research (6 papers), Bone Metabolism and Diseases (6 papers) and Ubiquitin and proteasome pathways (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, Hosung Sim, Patrick Chain, Luni Emdad, Masaru Tomita, Michal Babinski and Antônio Pedro Camargo. 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.