S C Lam

1.4k citations
20 papers · 1.2k · h-index 12

Impact in

Papers in

S C Lam

20 papers receiving 1.2k citations

Peers

S C Lam
Comparison fields: 5 of 72
  • Immunology and Allergy 736
  • Hematology 775
  • Radiology, Nuclear Medicine and Imaging 217
  • Pulmonary and Respiratory Medicine 241
  • Cancer Research 97
Replace Tetsuji Kamata with:
Tetsuji Kamata United States
G Marguerie France
Ana Kasirer‐Friede United States
Takaaki Hato Japan
Gabriel M. Romo United States
C Zamarrón United States
N A Carrell United States
Inge Pareyn Belgium
Sibylle Pochon Switzerland
Sharon R. Hasslen United States
S C Lam relative to Tetsuji Kamata United States Tetsuji Kamata's profile →
Citations per field
00.5×1.5×2.1×
Tetsuji Kamata · 1×
Citations per year

Countries citing papers authored by S C Lam

Since Specialization
Citations

This map shows the geographic impact of S C Lam'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 S C Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S C Lam more than expected).

Fields of papers citing papers by S C Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S C Lam. 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 S C Lam. The network helps show where S C Lam may publish in the future.

Co-authors

The 18 scholars most cited alongside S C Lam, 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 S C Lam Line = papers co-authored together S C Lam links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1990283
2 1988236
3 1987193
4 1990135
5 198899
6 198996
7 199232
8 199332
9 198929
10 199318
11 199214
12 199211
13 199111
14 199010
15 19926
16 19926
17 19945
18 19934
19 19933
20 19891

About S C Lam

S C Lam is a scholar working on Hematology, Atomic and Molecular Physics, and Optics, Biomedical Engineering, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (12 papers), Surface and Thin Film Phenomena (8 papers), Advanced Materials Characterization Techniques (7 papers), Force Microscopy Techniques and Applications (7 papers), Cell Adhesion Molecules Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Blood groups and transfusion (3 papers) and Heparin-Induced Thrombocytopenia and Thrombosis (3 papers). The work is most often cited by research in Immunology and Allergy (736 citations), Hematology (775 citations), Radiology, Nuclear Medicine and Imaging (217 citations), Pulmonary and Respiratory Medicine (241 citations) and Cancer Research (97 citations). S C Lam has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Mark H. Ginsberg, Edward F. Plow, Andrew L. Frelinger, M. A. Smith, Stanley E. D’Souza, R. J. Needs, James R. Roberts, E F Plow, Joseph C. Loftus and EF Plow. Their work appears in journals such as Journal of Biological Chemistry, Blood, Surface Science, Journal of Physics Condensed Matter and Journal of Pharmacology and Experimental Therapeutics.

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.

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