David J. Wells

21 total papers · 673 total citations
16 papers, 555 citations indexed

About

David J. Wells is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, David J. Wells has authored 16 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Pathology and Forensic Medicine. Recurrent topics in David J. Wells's work include RNA Interference and Gene Delivery (3 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Neuropeptides and Animal Physiology (2 papers). David J. Wells is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Neuropeptides and Animal Physiology (2 papers). David J. Wells collaborates with scholars based in United States, Canada and France. David J. Wells's co-authors include Jerome L. Maderdrut, Ronald W. Oppenheim, Stephen Brimijoin, Johannes Jakobsen, Per Sidenius, Kenneth A. Skau, Pierre Chambon, Paul Hossenlopp, Michael J. Getz and Harold L. Moses and has published in prestigious journals such as The Journal of Comparative Neurology, Diabetes and European Journal of Biochemistry.

In The Last Decade

David J. Wells

16 papers receiving 508 citations

Author Peers

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

Author						Papers	Cites
David J. Wells	236	204	118	73	68	16	555
Hugo Cabedo	337 1.4×	302 1.5×	77 0.7×	87 1.2×	72 1.1×	24	696
Mohtashem Samsam	212 0.9×	214 1.0×	52 0.4×	69 0.9×	31 0.5×	14	515
R Lim	353 1.5×	260 1.3×	81 0.7×	152 2.1×	44 0.6×	18	681
Michael Hamm	444 1.9×	113 0.6×	112 0.9×	92 1.3×	21 0.3×	14	696
Vittoria Spina‐Purrello	337 1.4×	88 0.4×	98 0.8×	38 0.5×	66 1.0×	18	637
Carme Costa	329 1.4×	125 0.6×	52 0.4×	44 0.6×	44 0.6×	34	599
Óscar G. Vidaurre	288 1.2×	161 0.8×	51 0.4×	61 0.8×	31 0.5×	12	502
John F. Mill	234 1.0×	155 0.8×	109 0.9×	69 0.9×	17 0.3×	13	504
Kevin She	240 1.0×	303 1.5×	42 0.4×	38 0.5×	41 0.6×	21	677
Jibin Yao	257 1.1×	131 0.6×	146 1.2×	53 0.7×	33 0.5×	11	629

Countries citing papers authored by David J. Wells

Since Specialization

Citations

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

Fields of papers citing papers by David J. Wells

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Wells. 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 David J. Wells. The network helps show where David J. Wells may publish in the future.

Co-authorship network of co-authors of David J. Wells

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Wells. A scholar is included among the top collaborators of David J. Wells 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 David J. Wells. David J. Wells 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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