Michael K. Shaw

6.8k citations
119 papers · 5.3k · h-index 42

Impact in

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

Papers in

Michael K. Shaw

119 papers receiving 5.1k citations

Peers

Michael K. Shaw
Comparison fields: 5 of 139
  • Parasitology 1.3k
  • Cell Biology 805
  • Immunology 860
  • Epidemiology 1.4k
  • Physiology 159
Replace Éric Ghigo with:
Éric Ghigo France
Mark Carrington United Kingdom
M. Rabinovitch United States
David W. Dorward United States
Kevin S. Johnson United Kingdom
Phillip I. Bird Australia
Horst Mossmann Germany
Margaret M. Harnett United Kingdom
Michael Lovett United States
Herbert Auer Austria
Michael K. Shaw relative to Éric Ghigo France Éric Ghigo's profile →
Citations per field
00.5×1.5×1.9×
Éric Ghigo · 1×
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 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006385
2 2004237
3 1997215
4 2000176
5 1998150
6 2009147
7 2008123
8 1998118
9 1997117
10 2012112
11 2002101
12 1997101
13 201296
14 200693
15 200092
16 200788
17 201087
18 201184
19 199980
20 200579

About Michael K. Shaw

Michael K. Shaw is a scholar working on Parasitology, Molecular Biology, Immunology, Epidemiology and Ecology, having authored 119 papers that have together received 5.3k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (16 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 (12 papers), T-cell and B-cell Immunology (11 papers), Helminth infection and control (10 papers) and Immunotherapy and Immune Responses (9 papers). The work is most often cited by research in Parasitology (1.3k citations), Cell Biology (805 citations), Immunology (860 citations), Epidemiology (1.4k citations) and Physiology (159 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 A. Erasmus, David S. Roos, Helen R. Dawe, Gregory M. Guild, Patricia S. Connelly, L G Tilney, Helen Farr and Sue Vaughan. 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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