Haiming Chen
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Immunology top 5%
- Psoriasis: Treatment and Pathogenesis
Papers in
- Hematology 49
- Multiple Myeloma Research and Treatments 49
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- Protein Degradation and Inhibitors 9
- Glycosylation and Glycoproteins Research 8
- Ubiquitin and proteasome pathways 7
- Co-authors
- James R. Berenson (56 shared papers)Mingjie Li (51 shared papers)Eric Sanchez (46 shared papers)Chuanjian Lu (15 shared papers)Ling Han (13 shared papers)Benjamin Bonavida (16 shared papers)Ziren Su (14 shared papers)Yuhong Yan (8 shared papers)
- Journals
- Blood (31 papers)International Immunopharmacology (7 papers)British Journal of Haematology (6 papers)Frontiers in Pharmacology (4 papers)Evidence-based Complementary and Alternative Medicine (3 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Haiming Chen
114 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 120
- Hematology 598
- Immunology 539
- Oncology 568
- Pharmacology 186
- Dermatology 171
Countries citing papers authored by Haiming Chen
This map shows the geographic impact of Haiming Chen'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 Haiming Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiming Chen more than expected).
Fields of papers citing papers by Haiming Chen
This network shows the impact of papers produced by Haiming Chen. 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 Haiming Chen. The network helps show where Haiming Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiming Chen, 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 219 | |
| 2 | 2016 | 144 | |
| 3 | 2017 | 136 | |
| 4 | 2014 | 96 | |
| 5 | 2018 | 88 | |
| 6 | 2019 | 84 | |
| 7 | 2008 | 83 | |
| 8 | 2009 | 64 | |
| 9 | 2014 | 64 | |
| 10 | 2015 | 61 | |
| 11 | 2021 | 60 | |
| 12 | 2012 | 54 | |
| 13 | 2018 | 48 | |
| 14 | 2019 | 47 | |
| 15 | 2019 | 46 | |
| 16 | 2016 | 45 | |
| 17 | 2015 | 44 | |
| 18 | 2016 | 44 | |
| 19 | 2016 | 40 | |
| 20 | 2018 | 40 |
About Haiming Chen
Haiming Chen is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 117 papers that have together received 2.5k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (49 papers), Monoclonal and Polyclonal Antibodies Research (17 papers), Psoriasis: Treatment and Pathogenesis (11 papers), Peptidase Inhibition and Analysis (9 papers), Protein Degradation and Inhibitors (9 papers), Glycosylation and Glycoproteins Research (8 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Hematology (598 citations), Immunology (539 citations), Oncology (568 citations), Pharmacology (186 citations) and Dermatology (171 citations). Haiming Chen has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include James R. Berenson, Mingjie Li, Eric Sanchez, Chuanjian Lu, Ling Han, Benjamin Bonavida, Ziren Su, Yuhong Yan, Cathy S. Wang and Regina A. Swift. Their work appears in journals such as Blood, International Immunopharmacology, British Journal of Haematology, Frontiers in Pharmacology and Evidence-based Complementary and Alternative Medicine.
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.