Bee-Cheng Sim
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
- Immunology 10
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 4
- Virology 1
- Co-authors
- Nicholas R. J. GascoigneMark I. GreeneVolker SchellenbergerVladimir N. PodustOlga V. NaidenkoMitchell KronenbergStéphane SidobreSibu Balan
- Journals
- The Journal of Immunology (4 papers)Cancer Research (2 papers)Protein Engineering Design and Selection (1 paper)Current Biology (1 paper)Science (1 paper)
- Partner nations
- United StatesNorway
In The Last Decade
Bee-Cheng Sim
13 papers receiving 557 citations
Peers
Comparison fields: 5 of 65
- Immunology 364
- Radiology, Nuclear Medicine and Imaging 111
- Oncology 106
- Hematology 32
- Biomaterials 35
Countries citing papers authored by Bee-Cheng Sim
This map shows the geographic impact of Bee-Cheng Sim'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 Bee-Cheng Sim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bee-Cheng Sim more than expected).
Fields of papers citing papers by Bee-Cheng Sim
This network shows the impact of papers produced by Bee-Cheng Sim. 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 Bee-Cheng Sim. The network helps show where Bee-Cheng Sim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bee-Cheng Sim, 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 | 2025 | 0 | |
| 2 | 2017 | 3 | |
| 3 | 2015 | 126 | |
| 4 | 2014 | 41 | |
| 5 | 2013 | 36 | |
| 6 | 2003 | 13 | |
| 7 | 2002 | 105 | |
| 8 | 1999 | 2 | |
| 9 | 1999 | 10 | |
| 10 | Reciprocal expression in CD4 or CD8 subsets of different members of the V alpha 11 gene family correlates with sequence polymorphism. | 1999 | 11 |
| 11 | 1998 | 49 | |
| 12 | 1998 | 29 | |
| 13 | 1997 | 13 | |
| 14 | 1996 | 135 |
About Bee-Cheng Sim
Bee-Cheng Sim is a scholar working on Immunology, Virology, Oncology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 14 papers that have together received 573 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Peptidase Inhibition and Analysis (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Protein purification and stability (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (364 citations), Radiology, Nuclear Medicine and Imaging (111 citations), Oncology (106 citations), Hematology (32 citations) and Biomaterials (35 citations). Bee-Cheng Sim has collaborated with scholars based in United States and Norway. Frequent co-authors include Nicholas R. J. Gascoigne, Mark I. Greene, Volker Schellenberger, Vladimir N. Podust, Olga V. Naidenko, Mitchell Kronenberg, Stéphane Sidobre, Sibu Balan, Robert Peters and K. Christopher García. Their work appears in journals such as The Journal of Immunology, Cancer Research, Protein Engineering Design and Selection, Current Biology and Science.
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.