Megan E. Williams

2.6k citations
40 papers · 1.9k · h-index 24

Impact in

Papers in

Megan E. Williams

37 papers receiving 1.9k citations

Peers

Megan E. Williams
Comparison fields: 5 of 108
  • Parasitology 392
  • Developmental Neuroscience 156
  • Cellular and Molecular Neuroscience 619
  • Immunology 414
  • Structural Biology 23
Replace Mark O. Collins with:
Mark O. Collins United Kingdom
Ulrich Gärtner Germany
Farida Korobova United States
Sulagna Das United States
Edward Korzus United States
Bohumil Maco Switzerland
Paul M. Knopf United States
Koret Hirschberg Israel
Luigi Michele Pavone Italy
Katrin Volkmann Germany
Megan E. Williams relative to Mark O. Collins United Kingdom Mark O. Collins's profile →
Citations per field
00.5×2.9×
Mark O. Collins · 1×
Citations per year

Countries citing papers authored by Megan E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Megan E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan E. Williams. 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 Megan E. Williams. The network helps show where Megan E. Williams may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994239
2 2015178
3 2011161
4 1998144
5 2010130
6 200397
7 199095
8 199477
9 200367
10 199166
11 197361
12 199255
13 201553
14 201752
15 200651
16 201546
17 201042
18 199341
19 199537
20 201036

About Megan E. Williams

Megan E. Williams is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Parasitology, Immunology and Developmental Neuroscience, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Parasites and Host Interactions (9 papers), Immune Cell Function and Interaction (6 papers), Axon Guidance and Neuronal Signaling (6 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Photoreceptor and optogenetics research (4 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Parasitology (392 citations), Developmental Neuroscience (156 citations), Cellular and Molecular Neuroscience (619 citations), Immunology (414 citations) and Structural Biology (23 citations). Megan E. Williams has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Anirvan Ghosh, Alan Sher, Andrew H. Lichtman, Thomas A. Wynn, Abul K. Abbas, Sara Hieny, Lindsay Hinck, Allen W. Cheever, Joris de Wit and Patricia Caspar. Their work appears in journals such as The Journal of Immunology, Journal of Neuroscience, Neuron, Neural Development and Journal of Biological Chemistry.

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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