M.A. Spearman

478 citations
10 papers · 393 · h-index 8

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Protein purification and stability 2
    • Protease and Inhibitor Mechanisms 3

M.A. Spearman

10 papers receiving 386 citations

Peers

M.A. Spearman
Comparison fields: 5 of 68
  • Immunology and Allergy 35
  • Cell Biology 85
  • Molecular Biology 273
  • Biotechnology 30
  • Radiology, Nuclear Medicine and Imaging 68
Replace Barbara Koehler with:
Barbara Koehler Switzerland
Y. Toda Japan
Akiko Obinata Japan
R Dzarlieva Germany
Su Yu United States
Sherri G. Osborn United States
Gérard Armand United States
Louis Poncz United States
Rachel Seidman Israel
Laurie Phillips United States
M.A. Spearman relative to Barbara Koehler Switzerland Barbara Koehler's profile →
Citations per field
00.5×
Barbara Koehler · 1×
Citations per year

Countries citing papers authored by M.A. Spearman

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Spearman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Spearman. 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 M.A. Spearman. The network helps show where M.A. Spearman may publish in the future.

Co-authors

The 14 scholars most cited alongside M.A. Spearman, 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 M.A. Spearman Line = papers co-authored together M.A. Spearman links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2005121
2 1993108
3 198750
4 201045
5 201124
6 199319
7 199115
8 19917
9 19903
10 19891

About M.A. Spearman

M.A. Spearman is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Genetics, having authored 10 papers that have together received 393 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (3 papers), Glycosylation and Glycoproteins Research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Protein purification and stability (2 papers), Cell Adhesion Molecules Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Pharmacological Effects and Assays (1 paper) and Connective tissue disorders research (1 paper). The work is most often cited by research in Immunology and Allergy (35 citations), Cell Biology (85 citations), Molecular Biology (273 citations), Biotechnology (30 citations) and Radiology, Nuclear Medicine and Imaging (68 citations). M.A. Spearman has collaborated with scholars based in Canada. Frequent co-authors include Michael Butler, N. Huzel, José F. Rodrígúez, Harry B. Greenberg, James R. Wright, Robert A. R. Hurta, Jennifer Jamieson, Jim Wright, Shanti K. Samuel and Eva A. Turley. Their work appears in journals such as Cancer Letters, The Journal of Cell Biology, Journal of Biotechnology, Experimental Cell Research and Biotechnology Progress.

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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