Megan E. Williams

2.6k total citations
40 papers, 1.9k citations indexed

About

Megan E. Williams is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Parasitology. According to data from OpenAlex, Megan E. Williams has authored 40 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 10 papers in Molecular Biology and 9 papers in Parasitology. Recurrent topics in Megan E. Williams's work include Neuroscience and Neuropharmacology Research (14 papers), Parasites and Host Interactions (9 papers) and Immune Cell Function and Interaction (6 papers). Megan E. Williams is often cited by papers focused on Neuroscience and Neuropharmacology Research (14 papers), Parasites and Host Interactions (9 papers) and Immune Cell Function and Interaction (6 papers). Megan E. Williams collaborates with scholars based in United States, Switzerland and Germany. Megan E. Williams's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Megan E. Williams

37 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Megan E. Williams United States 24 663 619 414 392 237 40 1.9k
Bohumil Maco Switzerland 30 1.2k 1.8× 476 0.8× 120 0.3× 387 1.0× 268 1.1× 58 2.6k
Paul M. Knopf United States 27 961 1.4× 439 0.7× 892 2.2× 474 1.2× 241 1.0× 79 3.3k
Ulrich Gärtner Germany 30 1.1k 1.7× 803 1.3× 561 1.4× 261 0.7× 52 0.2× 109 3.0k
Richard T. Ambron United States 26 685 1.0× 737 1.2× 214 0.5× 76 0.2× 83 0.4× 61 1.9k
Min‐Hua Luo China 27 700 1.1× 392 0.6× 521 1.3× 112 0.3× 249 1.1× 79 2.3k
Mark O. Collins United Kingdom 28 2.3k 3.5× 898 1.5× 260 0.6× 133 0.3× 316 1.3× 55 3.7k
B. Takács Switzerland 24 1.3k 2.0× 728 1.2× 705 1.7× 153 0.4× 825 3.5× 38 2.7k
Michal Schwartz Israel 31 1.4k 2.1× 625 1.0× 519 1.3× 57 0.1× 70 0.3× 92 3.3k
Edward Korzus United States 18 2.0k 3.1× 524 0.8× 547 1.3× 121 0.3× 60 0.3× 28 3.5k
Armin Baiker Germany 21 1.3k 1.9× 274 0.4× 194 0.5× 69 0.2× 74 0.3× 52 2.6k

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-authorship network of co-authors of Megan E. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Megan E. Williams. A scholar is included among the top collaborators of Megan E. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Megan E. Williams. Megan E. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Williams, Megan E., et al.. (2025). Evaluation of the synapse adhesion molecule Kirrel3 in neurological disease. Frontiers in Neurology. 16. 1662931–1662931.
3.
Tränkner, Dimitri, Amanda H. Mahnke, Keun-Young Kim, et al.. (2025). Inhibitory Neurons Marked by the Connectivity Molecule Kirrel3 Regulate Memory Precision. Journal of Neuroscience. 45(38). e1760242025–e1760242025. 1 indexed citations
4.
Johnson, Alyssa E., et al.. (2023). Modular Splicing Is Linked to Evolution in the Synapse-Specificity Molecule Kirrel3. eNeuro. 10(12). ENEURO.0253–23.2023. 4 indexed citations
5.
Reißner, Carsten, Robert Craig Sargent, Todd M. Darlington, et al.. (2021). Neurexin 1 variants as risk factors for suicide death. Molecular Psychiatry. 26(12). 7436–7445. 8 indexed citations
6.
Martin, Elizabeth A., et al.. (2017). Examining Hippocampal Mossy Fiber Synapses by 3D Electron Microscopy in Wildtype and Kirrel3 Knockout Mice. eNeuro. 4(3). ENEURO.0088–17.2017. 16 indexed citations
7.
Duan, Xin, Matthew R. Taylor, Elizabeth A. Martin, et al.. (2017). Heterophilic Type II Cadherins Are Required for High-Magnitude Synaptic Potentiation in the Hippocampus. Neuron. 96(1). 160–176.e8. 52 indexed citations
8.
Rawson, Randi L., Elizabeth A. Martin, & Megan E. Williams. (2017). Mechanisms of input and output synaptic specificity: finding partners, building synapses, and fine-tuning communication. Current Opinion in Neurobiology. 45. 39–44. 9 indexed citations
9.
Viswanathan, Sarada, Megan E. Williams, Erik B. Bloss, et al.. (2015). High-performance probes for light and electron microscopy. Nature Methods. 12(6). 568–576. 178 indexed citations
10.
Taylor, Matthew R., et al.. (2015). The classic cadherins in synaptic specificity. Cell Adhesion & Migration. 9(3). 193–201. 46 indexed citations
11.
Williams, Megan E., Scott A. Wilke, Anthony Daggett, et al.. (2011). Cadherin-9 Regulates Synapse-Specific Differentiation in the Developing Hippocampus. Neuron. 71(4). 640–655. 161 indexed citations
12.
Ripley, Beth, et al.. (2010). Regulation of synaptic stability by AMPA receptor reverse signaling. Proceedings of the National Academy of Sciences. 108(1). 367–372. 36 indexed citations
13.
Williams, Megan E., Joris de Wit, & Anirvan Ghosh. (2010). Molecular Mechanisms of Synaptic Specificity in Developing Neural Circuits. Neuron. 68(1). 9–18. 130 indexed citations
14.
Loomis, William F., M. Margarita Behrens, Megan E. Williams, & Christophe Anjard. (2010). Pregnenolone Sulfate and Cortisol Induce Secretion of Acyl-CoA-binding Protein and Its Conversion into Endozepines from Astrocytes. Journal of Biological Chemistry. 285(28). 21359–21365. 42 indexed citations
15.
Williams, Megan E., Phyllis Strickland, Ken Watanabe, & Lindsay Hinck. (2003). UNC5H1 Induces Apoptosis via Its Juxtamembrane Region through an Interaction with NRAGE. Journal of Biological Chemistry. 278(19). 17483–17490. 97 indexed citations
16.
Oswald, Isabelle P., Patricia Caspar, Thomas A. Wynn, et al.. (1998). Failure of P strain mice to respond to vaccination against schistosomiasis correlates with impaired production of IL-12 and up-regulation of Th2 cytokines that inhibit macrophage activation. European Journal of Immunology. 28(6). 1762–1772. 8 indexed citations
17.
Williams, Megan E., et al.. (1995). Schistosoma mansoni: Characterization of an FcϵR+ Population of Granule-Containing Splenocytes Isolated from Infected Mice. Experimental Parasitology. 80(2). 339–341. 4 indexed citations
18.
Oswald, Isabelle P., Thomas A. Wynn, Megan E. Williams, et al.. (1993). Regulatory and immunopathological roles of IL4 in experimental schistosomiasis. Research in Immunology. 144(8). 643–648. 2 indexed citations
19.
Williams, Megan E., Marika C. Kullberg, Patricia Caspar, et al.. (1993). Fcϵ receptor‐positive cells are a major source of antigen‐induced interIeukin‐4 in spleens of mice infected with Schistosoma mansoni. European Journal of Immunology. 23(8). 1910–1916. 41 indexed citations
20.
Williams, Megan E., et al.. (1991). Activation and Functions of CD4+ T‐Cell Subsets. Immunological Reviews. 123(1). 5–22. 66 indexed citations

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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