Diana E. Pankevich

22 total papers · 878 total citations
14 papers, 680 citations indexed

About

Diana E. Pankevich is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Nutrition and Dietetics. According to data from OpenAlex, Diana E. Pankevich has authored 14 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Sensory Systems and 3 papers in Nutrition and Dietetics. Recurrent topics in Diana E. Pankevich's work include Olfactory and Sensory Function Studies (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Diana E. Pankevich is often cited by papers focused on Olfactory and Sensory Function Studies (5 papers), Neurobiology and Insect Physiology Research (5 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Diana E. Pankevich collaborates with scholars based in United States and United Kingdom. Diana E. Pankevich's co-authors include Michael J. Baum, James A. Cherry, Tracy L. Bale, Bruce M. Altevogt, Fred H. Gage, John Dunlop, Catherine L. Jensen, Sarah L. Teegarden, Becky Brockel and Bridget R. Mueller and has published in prestigious journals such as Science, Neuron and Journal of Neuroscience.

In The Last Decade

Diana E. Pankevich

14 papers receiving 660 citations

Author Peers

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

Author						Papers	Cites
Diana E. Pankevich	223	207	146	127	117	14	680
C. de la Riva	364 1.6×	163 0.8×	242 1.7×	93 0.7×	130 1.1×	21	760
Brian E. Eisinger	136 0.6×	178 0.9×	143 1.0×	47 0.4×	240 2.1×	19	749
Euro Murzi	267 1.2×	70 0.3×	75 0.5×	117 0.9×	125 1.1×	23	573
Sandra P. Frankmann	148 0.7×	119 0.6×	158 1.1×	308 2.4×	119 1.0×	16	711
Jenne M. Westberry	120 0.5×	98 0.5×	173 1.2×	53 0.4×	216 1.8×	20	678
Tony L. Sahley	213 1.0×	225 1.1×	128 0.9×	30 0.2×	194 1.7×	18	711
Longwen Huang	245 1.1×	122 0.6×	58 0.4×	58 0.5×	187 1.6×	14	595
Tony Hunt	566 2.5×	117 0.6×	139 1.0×	165 1.3×	184 1.6×	14	691
Jihyun Noh	253 1.1×	190 0.9×	83 0.6×	80 0.6×	157 1.3×	31	640
Claudia F. Plappert	311 1.4×	79 0.4×	146 1.0×	78 0.6×	184 1.6×	32	704

Countries citing papers authored by Diana E. Pankevich

Since Specialization

Citations

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

Fields of papers citing papers by Diana E. Pankevich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana E. Pankevich

This figure shows the co-authorship network connecting the top 25 collaborators of Diana E. Pankevich. A scholar is included among the top collaborators of Diana E. Pankevich 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 Diana E. Pankevich. Diana E. Pankevich 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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