Bee-Cheng Sim

948 citations
17 papers · 639 · h-index 11

Impact in

Papers in

    • Immune Cell Function and Interaction 13
    • T-cell and B-cell Immunology 12
    • Immunotherapy and Immune Responses 7
    • Peptidase Inhibition and Analysis 3
    • Cancer Immunotherapy and Biomarkers 2

Bee-Cheng Sim

17 papers receiving 623 citations

Peers

Bee-Cheng Sim
Comparison fields: 5 of 63
  • Immunology 415
  • Radiology, Nuclear Medicine and Imaging 121
  • Oncology 110
  • Hematology 32
  • Virology 11
Replace Kevin Moulder with:
Kevin Moulder United States
Roland Stork Germany
Emma McKenzie United Kingdom
Biwei Zhao United States
Brooke Lumicisi United Kingdom
Stéphane Sarrazin France
M. Moser Austria
C W Pierce United States
H.G. Seijen Netherlands
Daniela Stokmaier Switzerland
Bee-Cheng Sim relative to Kevin Moulder United States Kevin Moulder's profile →
Citations per field
00.5×3.5×
Kevin Moulder · 1×
Citations per year

Countries citing papers authored by Bee-Cheng Sim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Bee-Cheng Sim Line = papers co-authored together Bee-Cheng Sim links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1996136
2 2015127
3 2002105
4 199849
5 199846
6 201443
7 201337
8 199829
9 200313
10 199713
11
Reciprocal expression in CD4 or CD8 subsets of different members of the V alpha 11 gene family correlates with sequence polymorphism.
199911
12 199910
13 20007
14 19957
15 20173
16 19992
17 20251

About Bee-Cheng Sim

Bee-Cheng Sim is a scholar working on Immunology, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Infectious Diseases, having authored 17 papers that have together received 639 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers), Immunotherapy and Immune Responses (7 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Peptidase Inhibition and Analysis (3 papers), Protein purification and stability (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (415 citations), Radiology, Nuclear Medicine and Imaging (121 citations), Oncology (110 citations), Hematology (32 citations) and Virology (11 citations). Bee-Cheng Sim has collaborated with scholars based in United States, Norway and United Kingdom. Frequent co-authors include Nicholas R. J. Gascoigne, Mark I. Greene, Volker Schellenberger, Vladimir N. Podust, David Lo, Olga V. Naidenko, Mitchell Kronenberg, Stéphane Sidobre, Robert Peters and Michael P. Coyle. Their work appears in journals such as The Journal of Immunology, Cancer Research, Bioconjugate Chemistry, Current Biology and Protein Engineering Design and Selection.

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.

Explore authors with similar magnitude of impact