Michael K. Shaw
Impact in
- Parasitology top 0.2%
- Toxoplasma gondii Research Studies
- Vector-borne infectious diseases
- Parasites and Host Interactions
- Cell Biology top 1%
- Microtubule and mitosis dynamics
Papers in
- Parasitology 43
- Vector-borne infectious diseases 18
- Parasites and Host Interactions 14
- Toxoplasma gondii Research Studies 13
- Co-authors
- Lewis G. Tilney (13 shared papers)Keith Gull (11 shared papers)David S. Roos (9 shared papers)David A. Erasmus (10 shared papers)Helen R. Dawe (5 shared papers)Patricia S. Connelly (5 shared papers)Gregory M. Guild (5 shared papers)L G Tilney (5 shared papers)
- Journals
- Parasitology (14 papers)Journal of Cell Science (9 papers)The Journal of Cell Biology (7 papers)Experimental Parasitology (6 papers)Parasitology Research (5 papers)
- Partner nations
- United StatesUnited KingdomKenya
In The Last Decade
Michael K. Shaw
125 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 142
- Parasitology 1.4k
- Cell Biology 827
- Epidemiology 1.5k
- Immunology 897
- Physiology 172
Countries citing papers authored by Michael K. Shaw
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
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.
All Works
Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 398 | |
| 2 | 2004 | 271 | |
| 3 | 1997 | 227 | |
| 4 | 2000 | 198 | |
| 5 | 1998 | 166 | |
| 6 | 2009 | 154 | |
| 7 | 2001 | 141 | |
| 8 | 2008 | 127 | |
| 9 | 1998 | 122 | |
| 10 | 1997 | 122 | |
| 11 | 2012 | 119 | |
| 12 | 2002 | 106 | |
| 13 | 1997 | 104 | |
| 14 | 2006 | 102 | |
| 15 | 2012 | 99 | |
| 16 | 2000 | 97 | |
| 17 | 2010 | 94 | |
| 18 | 2007 | 92 | |
| 19 | 2011 | 91 | |
| 20 | 1999 | 86 |
About Michael K. Shaw
Michael K. Shaw is a scholar working on Parasitology, Molecular Biology, Immunology, Epidemiology and Ecology, having authored 125 papers that have together received 5.8k 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 (827 citations), Epidemiology (1.5k citations), Immunology (897 citations) and Physiology (172 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, Patricia S. Connelly, Gregory M. Guild, L G Tilney, 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 Parasitology Research.
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.