Michael S. Lan

95 papers receiving 4.6k citations

Peers

Michael S. Lan
Comparison fields: 5 of 103
  • Genetics 1.5k
  • Endocrinology, Diabetes and Metabolism 800
  • Immunology 1.0k
  • Surgery 1.4k
  • Molecular Biology 2.2k
Replace Shimon Efrat with:
Shimon Efrat Israel
Frank Weber Germany
Harald Lahm Germany
Gaetano Romano United States
Senén Vilaró Spain
Elizabeth J. Taparowsky United States
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Anna T. Riegel United States
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Jean Marie Blanchard France
Michael S. Lan relative to Shimon Efrat Israel Shimon Efrat's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael S. Lan

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael S. Lan, 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 Michael S. Lan Line = papers co-authored together Michael S. Lan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989401
2 1990397
3 1994274
4 1996192
5 1996167
6 2006153
7 1992149
8 1984137
9 2007136
10 2004126
11 1998120
12 2009114
13
L-Arginine regulates the expression of the T-cell receptor zeta chain (CD3zeta) in Jurkat cells.
2001105
14
Isolation and properties of a human pancreatic adenocarcinoma-associated antigen, DU-PAN-2.
1985103
15 200294
16 199989
17 201388
18 200380
19 200876
20 199774

About Michael S. Lan

Michael S. Lan is a scholar working on Molecular Biology, Surgery, Genetics, Immunology and Neurology, having authored 96 papers that have together received 4.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (41 papers), Diabetes and associated disorders (27 papers), Glycosylation and Glycoproteins Research (16 papers), Protein Tyrosine Phosphatases (14 papers), Galectins and Cancer Biology (13 papers), Neuroblastoma Research and Treatments (11 papers), Neuroendocrine Tumor Research Advances (11 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Genetics (1.5k citations), Endocrinology, Diabetes and Metabolism (800 citations), Immunology (1.0k citations), Surgery (1.4k citations) and Molecular Biology (2.2k citations). Michael S. Lan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Abner Louis Notkins, Richard S. Metzgar, Mary B. Breslin, Olivera J. Finn, Noel K. Maclaren, Donna L. Barnd, Michael A. Hollingsworth, Yasuhiro Gotô, A L Notkins and Chiachen Chen. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Biochemical and Biophysical Research Communications, Endocrinology and Proceedings of the National Academy of Sciences.

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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