Kelvin Lam

2.3k citations
9 papers · 1.7k indexed · 2 hit papers · h-index 7
Topics
Pluripotent Stem Cells Research (3 papers)CRISPR and Genetic Engineering (2 papers)Hedgehog Signaling Pathway Studies (2 papers)

In The Last Decade

Kelvin Lam

9 papers receiving 1.7k citations

Hit Papers

A Small-Molecule Inhibitor of Tgf-β Signaling Replaces So...200920262014202020092010200400600

Peers

Kelvin Lam
Comparison fields: 5 of 94
  • Molecular Biology 1.2k
  • Cell Biology 423
  • Surgery 381
  • Biomedical Engineering 199
  • Genetics 176
Replace Anthony C. Arvanites with:
Anthony C. Arvanites United States
Iman Sahly France
Marthe J. Howard United States
Jacqueline Gabrion France
Swetha E. Murthy United States
Jack T. Mosher United States
Tamara J. Stevenson United States
Lisa Chakrabarti United Kingdom
Svetlana Bezprozvannaya United States
Chijen R. Lin United States
Kelvin Lam relative to Anthony C. Arvanites United States Anthony C. Arvanites's profile →
Citations per field
00.5×3.6×
Anthony C. Arvanites · 1×
Citations per year

Countries citing papers authored by Kelvin Lam

Since Specialization
Citations

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

Fields of papers citing papers by Kelvin Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kelvin Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Kelvin Lam. A scholar is included among the top collaborators of Kelvin Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kelvin Lam. Kelvin Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 58
2 40
3 61
4
Zebrafish Behavioral Profiling Links Drugs to Biological Targets and Rest/Wake Regulationbreakdown →
572
5
The Use and Promise of Stem Cells in Drug Discovery
1
6 367
7
A Small-Molecule Inhibitor of Tgf-β Signaling Replaces Sox2 in Reprogramming by Inducing Nanogbreakdown →
612
8 30
9 2

About Kelvin Lam

Kelvin Lam is a scholar working on Genetics, Molecular Biology and Biotechnology, having authored 9 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Cell Biology (423 citations), Molecular Biology (1.2k citations) and Aging (25 citations). Kelvin Lam has collaborated with scholars based in United States, Czechia and Japan. Frequent co-authors include Lee L. Rubin, Anthony C. Arvanites, David A. Prober, Jason Rihel, David Kokel, Steven Zimmerman, Randall T. Peterson, Sumin Jang, Stephen J. Haggarty and Alexander F. Schier. Their work appears in journals such as Science, Cell stem cell and The Journal of Organic Chemistry.

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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