Michael K. Shaw

7.1k citations
126 papers · 5.9k · h-index 43

Impact in

  • Parasitology top 0.2%
    • Toxoplasma gondii Research Studies
    • Vector-borne infectious diseases
    • Parasites and Host Interactions
    • Microtubule and mitosis dynamics

Papers in

    • Vector-borne infectious diseases 18
    • Parasites and Host Interactions 14
    • Toxoplasma gondii Research Studies 13
    • T-cell and B-cell Immunology 12
    • Immunotherapy and Immune Responses 9

Michael K. Shaw

126 papers receiving 5.7k citations

Peers

Michael K. Shaw
Comparison fields: 5 of 143
  • Parasitology 1.4k
  • Cell Biology 818
  • Epidemiology 1.5k
  • Immunology 907
  • Physiology 170
Replace Ching C. Wang with:
Ching C. Wang United States
Dennis J. Grab United States
Charles B. Shoemaker United States
Gary E. Ward United States
Elisabet V. Caler United States
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Ian Goodhead United Kingdom
Phillip Ian Bird Australia
Annette MacLeod United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Michael K. Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Michael K. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006409
2 2004266
3 1997228
4 2000196
5 1998165
6 2009159
7 2001139
8 2008131
9 1997124
10 1998121
11 2012118
12 2002110
13 1997102
14 2006101
15 2012100
16 200097
17 201093
18 201193
19 200791
20 199988

About Michael K. Shaw

Michael K. Shaw is a scholar working on Parasitology, Immunology, Cell Biology, Small Animals and Epidemiology, having authored 126 papers that have together received 5.9k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (18 papers), Trypanosoma species research and implications (16 papers), Parasite Biology and Host Interactions (14 papers), Parasites and Host Interactions (14 papers), Toxoplasma gondii Research Studies (13 papers), T-cell and B-cell Immunology (12 papers), Helminth infection and control (10 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Parasitology (1.4k citations), Cell Biology (818 citations), Epidemiology (1.5k citations), Immunology (907 citations) and Physiology (170 citations). Michael K. Shaw has collaborated with scholars based in United States, United Kingdom and Kenya. Frequent co-authors include Lewis G. Tilney, Keith Gull, David S. Roos, David A. Erasmus, Helen R. Dawe, Lewis G. Tilney, Gregory M. Guild, Patricia S. Connelly, Boris Striepen and Helen Farr. Their work appears in journals such as Parasitology, Journal of Cell Science, The Journal of Cell Biology, Experimental Parasitology and Journal of Neuroimmunology.

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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