Kevin Pang

10.1k total citations · 1 hit paper
136 papers, 7.8k citations indexed

About

Kevin Pang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Kevin Pang has authored 136 papers receiving a total of 7.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Cellular and Molecular Neuroscience, 48 papers in Cognitive Neuroscience and 42 papers in Molecular Biology. Recurrent topics in Kevin Pang's work include Memory and Neural Mechanisms (41 papers), Neuroscience and Neuropharmacology Research (36 papers) and Stress Responses and Cortisol (33 papers). Kevin Pang is often cited by papers focused on Memory and Neural Mechanisms (41 papers), Neuroscience and Neuropharmacology Research (36 papers) and Stress Responses and Cortisol (33 papers). Kevin Pang collaborates with scholars based in United States, Australia and United Kingdom. Kevin Pang's co-authors include Mark Q. Martindale, John R. Finnerty, David Q. Matus, Richard J. Servatius, Kevin D. Beck, Ryan M. Yoder, Casey W. Dunn, David S. Olton, Greg Rose and Xilu Jiao and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Kevin Pang

135 papers receiving 7.6k citations

Hit Papers

Broad phylogenomic sampling improves resolution of the an... 2008 2026 2014 2020 2008 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Broad phylogenomic sampling improves resolution of the animal tree of life
    2008 1.4k citations Casey W. Dunn, David Q. Matus et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Pang United States 47 3.4k 2.3k 2.0k 1.6k 1.5k 136 7.8k
Steven J. Cooper United Kingdom 52 2.2k 0.7× 1.7k 0.7× 3.6k 1.8× 954 0.6× 1.3k 0.8× 392 11.3k
R. Glenn Northcutt United States 51 3.5k 1.0× 777 0.3× 2.5k 1.3× 1.1k 0.7× 659 0.4× 181 9.4k
Matthew W. Brown United States 42 2.6k 0.8× 315 0.1× 2.2k 1.1× 2.7k 1.7× 140 0.1× 117 6.2k
Michael K. Richardson Netherlands 46 3.0k 0.9× 905 0.4× 406 0.2× 162 0.1× 654 0.4× 131 7.2k
Paul R. Manger South Africa 44 1.3k 0.4× 848 0.4× 2.5k 1.3× 3.0k 1.8× 160 0.1× 258 8.0k
Leonid L. Moroz United States 48 2.7k 0.8× 1.5k 0.7× 2.3k 1.1× 266 0.2× 882 0.6× 179 7.3k
Derek E. Wildman United States 47 2.6k 0.8× 417 0.2× 506 0.3× 520 0.3× 160 0.1× 153 7.0k
Patrick Callaerts Belgium 42 4.0k 1.2× 299 0.1× 1.6k 0.8× 168 0.1× 502 0.3× 110 6.4k
Nicholas S. Foulkes Germany 48 3.5k 1.0× 175 0.1× 1.9k 1.0× 384 0.2× 265 0.2× 121 8.9k
Alex C. Keene United States 38 629 0.2× 713 0.3× 2.4k 1.2× 503 0.3× 501 0.3× 110 4.1k

Countries citing papers authored by Kevin Pang

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Pang. A scholar is included among the top collaborators of Kevin Pang 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 Kevin Pang. Kevin Pang 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
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Pang, Kevin, et al.. (2019). Reduced avoidance coping in male, but not in female rats, after mild traumatic brain injury: Implications for depression. Behavioural Brain Research. 373. 112064–112064. 3 indexed citations
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Jiao, Xilu, et al.. (2014). Avoidance as expectancy in rats: sex and strain differences in acquisition. Frontiers in Behavioral Neuroscience. 8. 334–334. 17 indexed citations
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Jiao, Xilu, et al.. (2010). Deficient proactive interference of eyeblink conditioning in Wistar-Kyoto rats. Behavioural Brain Research. 216(1). 59–65. 17 indexed citations
8.
Pang, Kevin & Mark Q. Martindale. (2008). Ctenophores. Current Biology. 18(24). R1119–R1120. 19 indexed citations
9.
Pang, Kevin & Mark Q. Martindale. (2008). Mnemiopsis leidyi Spawning and Embryo Collection. Cold Spring Harbor Protocols. 2008(11). pdb.prot5085–pdb.prot5085. 20 indexed citations
10.
Ryan, Joseph F., Kevin Pang, David Q. Matus, et al.. (2007). Pre-Bilaterian Origins of the Hox Cluster and the Hox Code: Evidence from the Sea Anemone, Nematostella vectensis. PLoS ONE. 2(1). e153–e153. 175 indexed citations
11.
Matus, David Q., Kevin Pang, Heather Marlow, et al.. (2006). Molecular evidence for deep evolutionary roots of bilaterality in animal development. Proceedings of the National Academy of Sciences. 103(30). 11195–11200. 150 indexed citations
12.
Pang, Kevin, Heiko A. Schmidt, Ulrich Technau, et al.. (2005). Unexpected complexity of the Wnt gene family in a sea anemone. Nature Cell Biology. 433(7022). 156–160. 465 indexed citations
13.
Finnerty, John R., et al.. (2004). Origins of Bilateral Symmetry: Hox and Dpp Expression in a Sea Anemone. Science. 304(5675). 1335–1337. 289 indexed citations
14.
Pang, Kevin, David Q. Matus, & Mark Q. Martindale. (2004). The ancestral role of COE genes may have been in chemoreception: evidence from the development of the sea anemone, Nematostella vectensis (Phylum Cnidaria; Class Anthozoa). Development Genes and Evolution. 214(3). 134–138. 34 indexed citations
15.
McAuley, J. Devin, J. Philip Miller, & Kevin Pang. (2004). Age-Related Changes in the Spontaneous Motor Rhythms of theSenescence-Accelerated Mouse (SAMP8). Experimental Aging Research. 30(1). 113–127. 6 indexed citations
16.
Pang, Kevin, et al.. (2001). GABAergic septohippocampal neurons are not necessary for spatial memory. Hippocampus. 11(6). 814–827. 73 indexed citations
17.
Pang, Kevin, Megan Williams, & David S. Olton. (1993). Activation of the medial septal area attenuates LTP of the lateral perforant path and enhances heterosynaptic LTD of the medial perforant path in aged rats. Brain Research. 632(1-2). 150–160. 27 indexed citations
18.
Edery, Marc, Kevin Pang, Lisa Larson, & S. Nandi. (1989). Turnover of epidermal growth factor binding sites in mouse mammary epithelial cells. Biomedicine & Pharmacotherapy. 43(5). 361–368. 6 indexed citations
19.
Pang, Kevin. (1989). Differential effects of methionine5 enkephalin on hippocampal pyramidal cells and interneurons. Neuropharmacology. 28(11). 1175–1181. 29 indexed citations
20.
Rose, Greg & Kevin Pang. (1989). Differential effect of norepinephrine upon granule cells and interneurons in the dentate gyrus. Brain Research. 488(1-2). 353–356. 19 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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