Mark T. Lin

1.5k citations
17 papers · 1.0k indexed · h-index 13
Topics
Animal Virus Infections Studies (6 papers)Immune Cell Function and Interaction (3 papers)Viral gastroenteritis research and epidemiology (2 papers)
Partner nations
United StatesSpainFrance

In The Last Decade

Mark T. Lin

17 papers receiving 1.0k citations

Peers

Mark T. Lin
Comparison fields: 5 of 87
  • Immunology 398
  • Infectious Diseases 254
  • Animal Science and Zoology 221
  • Molecular Biology 216
  • Epidemiology 194
Replace Kenichi Morikawa with:
Kenichi Morikawa Japan
Yeping Cai Australia
Maryse Dagenais Canada
Elaine Huang Australia
Martina Schmitz Germany
Lai Wei China
M. Bjørneboe Denmark
Haruki Komatsu Japan
Susan B. Morris United States
Mark T. Lin relative to Kenichi Morikawa Japan Kenichi Morikawa's profile →
Citations per field
00.5×3.5×
Kenichi Morikawa · 1×
Citations per year

Countries citing papers authored by Mark T. Lin

Since Specialization
Citations

This map shows the geographic impact of Mark T. Lin'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 Mark T. Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Lin more than expected).

Fields of papers citing papers by Mark T. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark T. Lin. 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 Mark T. Lin. The network helps show where Mark T. Lin may publish in the future.

Co-authorship network of co-authors of Mark T. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Mark T. Lin. A scholar is included among the top collaborators of Mark T. Lin 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 Mark T. Lin. Mark T. Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 6
2 13
3 39
4 19
5 71
6 98
7 154
8 48
9 56
10 183
11 80
12 51
13 10
14 5
15 134
16 69
17
Immune regulation of coronavirus-induced demyelinating encephalomyelitis.
1

About Mark T. Lin

Mark T. Lin is a scholar working on Animal Science and Zoology, Immunology and Hepatology, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (6 papers), Immune Cell Function and Interaction (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Animal Science and Zoology (221 citations), Immunology (398 citations) and Developmental Neuroscience (67 citations). Mark T. Lin has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Stephen A. Stohlman, David R. Hinton, Cornelia C. Bergmann, Timothy E. Albertson, Beatriz Parra, Norman W. Marten, J. Daniel, José M. Mato, Shelly C. Lu and Roel C. van der Veen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Immunology.

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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