Jun Hang
Impact in
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- Tendon Structure and Treatment
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- Ubiquitin and proteasome pathways
- Nuclear Structure and Function
- RNA Research and Splicing
- RNA modifications and cancer
Papers in ⓘ
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- Blood properties and coagulation 2
- Lung Cancer Diagnosis and Treatment 1
- Lung Cancer Treatments and Mutations 1
- Co-authors
- Mary Dasso (1 shared paper)Alexey M. Belkin (2 shared papers)Evgeny A. Zemskov (2 shared papers)L. Lóránd (1 shared paper)Sergey Akimov (1 shared paper)Sergey Sikora (1 shared paper)Alex Y. Strongin (1 shared paper)Guoping Zhu (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Biochemistry (1 paper)Protein Engineering Design and Selection (1 paper)Digestive Diseases and Sciences (1 paper)Zhonghua fangshe zhongliuxue zazhi (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jun Hang
7 papers receiving 384 citations
Peers
Comparison fields: 5 of 56
- Orthopedics and Sports Medicine 33
- Molecular Biology 248
- Pulmonary and Respiratory Medicine 111
- Parasitology 22
- Oncology 84
Countries citing papers authored by Jun Hang
This map shows the geographic impact of Jun Hang'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 Jun Hang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hang more than expected).
Fields of papers citing papers by Jun Hang
This network shows the impact of papers produced by Jun Hang. 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 Jun Hang. The network helps show where Jun Hang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Hang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 198 | |
| 2 | 2005 | 78 | |
| 3 | 2004 | 53 | |
| 4 | 1999 | 52 | |
| 5 | 2009 | 2 | |
| 6 | 2024 | 2 | |
| 7 | Mutation of G138P Enhanced the Thermostability of D-glucose Isomerase. | 1998 | 2 |
About Jun Hang
Jun Hang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Hematology and Materials Chemistry, having authored 7 papers that have together received 387 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Blood properties and coagulation (2 papers), Enzyme Structure and Function (2 papers), Lung Cancer Diagnosis and Treatment (1 paper), Celiac Disease Research and Management (1 paper), Gastrointestinal motility and disorders (1 paper), Rheology and Fluid Dynamics Studies (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (33 citations), Molecular Biology (248 citations), Pulmonary and Respiratory Medicine (111 citations), Parasitology (22 citations) and Oncology (84 citations). Jun Hang has collaborated with scholars based in China and United States. Frequent co-authors include Mary Dasso, Alexey M. Belkin, Evgeny A. Zemskov, L. Lóránd, Sergey Akimov, Sergey Sikora, Alex Y. Strongin, Guoping Zhu, Chunbao Xu and Xiaoyun Zhu. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Protein Engineering Design and Selection, Digestive Diseases and Sciences and Zhonghua fangshe zhongliuxue zazhi.
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.