LM Stoolman

1.2k citations
15 papers · 1.1k · h-index 11

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 7
    • Receptor Mechanisms and Signaling 2
    • T-cell and B-cell Immunology 2
    • Galectins and Cancer Biology 1

LM Stoolman

15 papers receiving 1.0k citations

Peers

LM Stoolman
Comparison fields: 5 of 80
  • Immunology and Allergy 580
  • Immunology 478
  • Hematology 123
  • Radiology, Nuclear Medicine and Imaging 243
  • Cell Biology 135
Replace Deborah Webb with:
Deborah Webb United States
Emily K. Griffiths Canada
M Temponi United States
Lutz Zeitlmann Germany
Toru Fukazawa Japan
Keena S. Thomas United States
Shuichi Ikeyama Japan
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Jill E. Hutchcroft United States
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by LM Stoolman

Since Specialization
Citations

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

Fields of papers citing papers by LM Stoolman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside LM Stoolman, 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 LM Stoolman Line = papers co-authored together LM Stoolman links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1983191
2 1984167
3 1987143
4 1993125
5 1993118
6 198799
7 198783
8 199053
9 199537
10 199314
11 199311
12 19878
13
HUT 78 T cells bind to noncytokine-stimulated keratinocytes using a non-CD18-dependent adhesion pathway.
19927
14
Quantitative analysis of a new marker for common acute lymphoblastic leukemia detected by two-dimensional electrophoresis.
19895
15
Expression of CD60 on multiple cell lineages in inflammatory synovitis.
19954

About LM Stoolman

LM Stoolman is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Cancer Research, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (7 papers), Cell Adhesion Molecules Research (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Protease and Inhibitor Mechanisms (3 papers), Receptor Mechanisms and Signaling (2 papers), T-cell and B-cell Immunology (2 papers), Lymphoma Diagnosis and Treatment (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology and Allergy (580 citations), Immunology (478 citations), Hematology (123 citations), Radiology, Nuclear Medicine and Imaging (243 citations) and Cell Biology (135 citations). LM Stoolman has collaborated with scholars based in United States and Germany. Frequent co-authors include Steven D. Rosen, T.S. Tenforde, E C Butcher, Ted Yednock, Klaus Ley, P. Gaehtgens, David A. Fox, Craig B. Thompson, Jacques Grober and CA Hanson. Their work appears in journals such as Blood, The Journal of Cell Biology, Journal of Clinical Investigation, Journal of Cellular Physiology and PubMed.

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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