Travis M. Kerr

9 total papers · 904 total citations
6 papers, 411 citations indexed

About

Travis M. Kerr is a scholar working on Cognitive Neuroscience, Genetics and Molecular Biology. According to data from OpenAlex, Travis M. Kerr has authored 6 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Travis M. Kerr's work include Autism Spectrum Disorder Research (6 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Neuroendocrine regulation and behavior (2 papers). Travis M. Kerr is often cited by papers focused on Autism Spectrum Disorder Research (6 papers), Genetics and Neurodevelopmental Disorders (5 papers) and Neuroendocrine regulation and behavior (2 papers). Travis M. Kerr collaborates with scholars based in United States, Canada and France. Travis M. Kerr's co-authors include Jeremy Veenstra‐VanderWeele, Christopher L. Muller, Randy Blakely, James S. Sutcliffe, Jacqueline N. Crawley, George M. Anderson, Tammy Jessen, Ana M.D. Carneiro, Lynette C. Daws and Hideki Iwamoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Academy of Child & Adolescent Psychiatry and Neuropsychopharmacology.

In The Last Decade

Travis M. Kerr

6 papers receiving 403 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Travis M. Kerr	215	122	108	102	95	6	411
Hisami Nishida	134 0.6×	105 0.9×	89 0.8×	59 0.6×	140 1.5×	8	376
Shinko Koishi	152 0.7×	156 1.3×	109 1.0×	68 0.7×	132 1.4×	12	395
Diego Oddi	143 0.7×	121 1.0×	109 1.0×	79 0.8×	131 1.4×	9	412
Hana Seung	221 1.0×	166 1.4×	118 1.1×	89 0.9×	60 0.6×	13	398
Alessia De Felice	116 0.5×	86 0.7×	93 0.9×	37 0.4×	62 0.7×	11	451
Lynne Cochrane	118 0.5×	108 0.9×	57 0.5×	163 1.6×	130 1.4×	9	439
Elizabeth Quattrocki Knight	221 1.0×	37 0.3×	119 1.1×	88 0.9×	123 1.3×	8	490
F Tabuteau	200 0.9×	114 0.9×	71 0.7×	36 0.4×	37 0.4×	16	433
Luigi Balasco	238 1.1×	116 1.0×	93 0.9×	61 0.6×	28 0.3×	14	388
Adi Cymerblit‐Sabba	192 0.9×	48 0.4×	49 0.5×	162 1.6×	204 2.1×	13	481

Countries citing papers authored by Travis M. Kerr

Since Specialization

Citations

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

Fields of papers citing papers by Travis M. Kerr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis M. Kerr. 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 Travis M. Kerr. The network helps show where Travis M. Kerr may publish in the future.

Co-authorship network of co-authors of Travis M. Kerr

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

All Works

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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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