Michael S. Lan

5.9k citations
98 papers · 4.6k indexed · h-index 35

Impact in

Papers in

    • Diabetes and associated disorders 30
    • Pancreatic function and diabetes 45

Michael S. Lan

96 papers receiving 4.5k citations

Peers

Michael S. Lan
Comparison fields: 5 of 102
  • Genetics 1.6k
  • Endocrinology, Diabetes and Metabolism 860
  • Immunology 1.1k
  • Surgery 1.6k
  • Molecular Biology 2.3k
Replace Shimon Efrat with:
Shimon Efrat Israel
Pieter In 'T Veld Belgium
Li‐Yuan Yu‐Lee United States
Rikiro Fukunaga Japan
Gaetano Romano United States
Rafael Espinosa United States
Elizabeth J. Taparowsky United States
Anna T. Riegel United States
Jean Marie Blanchard France
E P Chow United States
Michael S. Lan relative to Shimon Efrat Israel Shimon Efrat's profile →
Citations per field
00.5×2.8×
Shimon Efrat · 1×
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-authorship network

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
#Work
1 20232
2 201825
3 20189
4 201612
5 201417
6 20145
7 20100
8 201028
9 200821
10 200722
11 2006145
12 200611
13 2004119
14 200414
15 200379
16 20002
17 199816
18 199740
19 19976
20 1994262

About Michael S. Lan

Michael S. Lan is a scholar working on Genetics, Surgery, Neurology, Immunology and Molecular Biology, having authored 98 papers that have together received 4.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (45 papers), Diabetes and associated disorders (30 papers), Glycosylation and Glycoproteins Research (16 papers), Protein Tyrosine Phosphatases (14 papers), Metabolism, Diabetes, and Cancer (13 papers), Neuroblastoma Research and Treatments (13 papers), Galectins and Cancer Biology (13 papers) and Neuroendocrine Tumor Research Advances (11 papers). The work is most often cited by research in Genetics (1.6k citations), Endocrinology, Diabetes and Metabolism (860 citations), Immunology (1.1k citations), Surgery (1.6k citations) and Molecular Biology (2.3k 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, Donna L. Barnd, Michael A. Hollingsworth, Noel K. Maclaren, Yasuhiro Gotô, Surinder K. Batra and Weichen Qi. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Biochemical and Biophysical Research Communications, Journal of Autoimmunity and Cellular Signalling.

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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