Vera C. Campbell

16 total papers · 534 total citations
9 papers, 178 citations indexed

About

Vera C. Campbell is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Vera C. Campbell has authored 9 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Physiology. Recurrent topics in Vera C. Campbell's work include Pain Mechanisms and Treatments (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Vera C. Campbell is often cited by papers focused on Pain Mechanisms and Treatments (4 papers), Nicotinic Acetylcholine Receptors Study (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). Vera C. Campbell collaborates with scholars based in United States, Australia and Saudi Arabia. Vera C. Campbell's co-authors include Robert E. Taylor, Yousef Tizabi, Sandra P. Welch, Theresa Kopajtic, Jonathan L. Katz, Amy Hauck Newman, John DelValle, Craig D. Logsdon, Matthias Schäffer and Tesshi Yamada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Brain Research and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Vera C. Campbell

9 papers receiving 174 citations

Author Peers

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

Author						Papers	Cites
Vera C. Campbell	99	99	64	23	21	9	178
Mariana Brizuela	79 0.8×	47 0.5×	80 1.3×	21 0.9×	7 0.3×	13	271
Elisa Nent	134 1.4×	45 0.5×	107 1.7×	61 2.7×	20 1.0×	7	274
Annah M. Moore	128 1.3×	61 0.6×	79 1.2×	12 0.5×	12 0.6×	12	270
Ziqi Yuan	52 0.5×	29 0.3×	36 0.6×	22 1.0×	24 1.1×	10	181
Jiahuan Hao	71 0.7×	90 0.9×	28 0.4×	8 0.3×	18 0.9×	9	272
Ryoichi Tashima	57 0.6×	110 1.1×	156 2.4×	14 0.6×	12 0.6×	12	247
Fernanda Crunfli	73 0.7×	57 0.6×	40 0.6×	65 2.8×	8 0.4×	14	217
Ece Eroğlu	82 0.8×	91 0.9×	28 0.4×	15 0.7×	19 0.9×	10	291
Chiara Contri	81 0.8×	27 0.3×	33 0.5×	52 2.3×	20 1.0×	10	233
Claudia Albrecht	145 1.5×	63 0.6×	43 0.7×	50 2.2×	12 0.6×	10	263

Countries citing papers authored by Vera C. Campbell

Since Specialization

Citations

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

Fields of papers citing papers by Vera C. Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vera C. Campbell. 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 Vera C. Campbell. The network helps show where Vera C. Campbell may publish in the future.

Co-authorship network of co-authors of Vera C. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Vera C. Campbell. A scholar is included among the top collaborators of Vera C. Campbell 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 Vera C. Campbell. Vera C. Campbell 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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