Tory Herman

799 total citations
9 papers, 640 citations indexed

About

Tory Herman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Tory Herman has authored 9 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Tory Herman's work include Developmental Biology and Gene Regulation (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). Tory Herman is often cited by papers focused on Developmental Biology and Gene Regulation (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Axon Guidance and Neuronal Signaling (2 papers). Tory Herman collaborates with scholars based in United States. Tory Herman's co-authors include H. Robert Horvitz, Bruce Demple, Adam C. Miller, Erika Hartwieg, Shuying Gao, Shinichi Yonekura, S Lawrence Zipursky, Chi‐Hon Lee, Jian Wang and Michael B. O’Connor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Neuron.

In The Last Decade

Tory Herman

9 papers receiving 632 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tory Herman United States	7	502	122	121	104	58	9	640
Jacque-Lynne Johnson Canada	6	439 0.9×	137 1.1×	124 1.0×	33 0.3×	91 1.6×	6	565
Andrés Dekanty Argentina	14	388 0.8×	179 1.5×	47 0.4×	142 1.4×	97 1.7×	24	671
Sarah Moseley United States	7	618 1.2×	80 0.7×	168 1.4×	135 1.3×	97 1.7×	7	784
Xingjie Ren United States	12	807 1.6×	76 0.6×	150 1.2×	172 1.7×	150 2.6×	22	1.0k
Kim Farrell United States	4	698 1.4×	204 1.7×	63 0.5×	235 2.3×	56 1.0×	5	897
Hana Hall United States	12	1.0k 2.0×	123 1.0×	57 0.5×	69 0.7×	65 1.1×	19	1.1k
Christopher A. Shelton United States	8	479 1.0×	192 1.6×	368 3.0×	49 0.5×	37 0.6×	12	775
Gregg D. Jongeward United States	9	572 1.1×	157 1.3×	340 2.8×	72 0.7×	39 0.7×	11	857
Maria Sol Flaherty United States	12	502 1.0×	208 1.7×	40 0.3×	236 2.3×	122 2.1×	12	833
Matthew R. Wallenfang United States	9	495 1.0×	240 2.0×	325 2.7×	47 0.5×	62 1.1×	9	705

Countries citing papers authored by Tory Herman

Since Specialization

Citations

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

Fields of papers citing papers by Tory Herman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tory Herman. 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 Tory Herman. The network helps show where Tory Herman may publish in the future.

Co-authorship network of co-authors of Tory Herman

This figure shows the co-authorship network connecting the top 25 collaborators of Tory Herman. A scholar is included among the top collaborators of Tory Herman 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 Tory Herman. Tory Herman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Drerup, Catherine M., et al.. (2020). A Conserved Role for Vezatin Proteins in Cargo-Specific Regulation of Retrograde Axonal Transport. Genetics. 216(2). 431–445. 5 indexed citations

Herman, Tory, et al.. (2016). Wallenda/DLK protein levels are temporally downregulated by Tramtrack69 to allow R7 growth cones to become stationary boutons. Development. 143(16). 2983–2993. 9 indexed citations

Miller, Adam C., et al.. (2015). Polycomb group genes are required to maintain a binary fate choice in the Drosophila eye. Neural Development. 10(1). 2–2. 2 indexed citations

Holbrook, Scott, et al.. (2013). R7 Photoreceptor Axon Growth Is Temporally Controlled by the Transcription Factor Ttk69, Which Inhibits Growth in Part by Promoting Transforming Growth Factor-β/Activin Signaling. Journal of Neuroscience. 33(4). 1509–1520. 7 indexed citations

Miller, Adam C., et al.. (2009). cis-Inhibition of Notch by Endogenous Delta Biases the Outcome of Lateral Inhibition. Current Biology. 19(16). 1378–1383. 106 indexed citations

Ting, Chun‐Yuan, Tory Herman, Shinichi Yonekura, et al.. (2007). Tiling of R7 Axons in the Drosophila Visual System Is Mediated Both by Transduction of an Activin Signal to the Nucleus and by Mutual Repulsion. Neuron. 56(5). 793–806. 72 indexed citations

Herman, Tory & H. Robert Horvitz. (1999). Three proteins involved in Caenorhabditis elegans vulval invagination are similar to components of a glycosylation pathway. Proceedings of the National Academy of Sciences. 96(3). 974–979. 110 indexed citations

Herman, Tory, Erika Hartwieg, & H. Robert Horvitz. (1999). sqv mutants of Caenorhabditis elegans are defective in vulval epithelial invagination. Proceedings of the National Academy of Sciences. 96(3). 968–973. 102 indexed citations

Herman, Tory, et al.. (1991). Two distinct human DNA diesterases that hydrolyze 3′-blocking deoxyribose fragments from oxidized DNA. Nucleic Acids Research. 19(21). 5907–5914. 227 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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