David P. Campbell

109 total papers · 1.1k total citations
60 papers, 860 citations indexed

About

David P. Campbell is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, David P. Campbell has authored 60 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Molecular Biology. Recurrent topics in David P. Campbell's work include Retirement, Disability, and Employment (3 papers), Academic and Historical Perspectives in Psychology (3 papers) and Intestinal Malrotation and Obstruction Disorders (3 papers). David P. Campbell is often cited by papers focused on Retirement, Disability, and Employment (3 papers), Academic and Historical Perspectives in Psychology (3 papers) and Intestinal Malrotation and Obstruction Disorders (3 papers). David P. Campbell collaborates with scholars based in United States and Norway. David P. Campbell's co-authors include Constantine E. Anagnostopoulos, Donald E. Parker, Martin Balin, Donna Pratt, Norbert Gleicher, Vishvanath Karande, Jo‐Ida C. Hansen, Robert A. Peterson, Fred H. Borgen and Philip A. Perrone and has published in prestigious journals such as Journal of Applied Psychology, American Psychologist and Annals of Surgery.

In The Last Decade

David P. Campbell

57 papers receiving 715 citations

Author Peers

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

Author						Papers	Cites
David P. Campbell	179	135	111	110	109	60	860
Kirsty Lee	43 0.2×	106 0.8×	227 2.0×	116 1.1×	46 0.4×	35	836
Davide Mazzoni	55 0.3×	50 0.4×	170 1.5×	32 0.3×	21 0.2×	68	932
Heather Johnson	62 0.3×	504 3.7×	50 0.5×	46 0.4×	54 0.5×	50	1.0k
Kelly L. Wilson	36 0.2×	27 0.2×	151 1.4×	50 0.5×	14 0.1×	74	961
Mark Robinson	33 0.2×	107 0.8×	51 0.5×	30 0.3×	81 0.7×	46	833
Daniel Potter	47 0.3×	217 1.6×	73 0.7×	37 0.3×	49 0.4×	24	900
Patrick S. Y. Lau	137 0.8×	215 1.6×	266 2.4×	9 0.1×	261 2.4×	33	914
Ya Wen	134 0.7×	151 1.1×	173 1.6×	47 0.4×	11 0.1×	49	863
Ching Man Lam	164 0.9×	292 2.2×	252 2.3×	27 0.2×	19 0.2×	63	1.0k
Miran Kim	6 0.0×	87 0.6×	45 0.4×	44 0.4×	53 0.5×	90	863

Countries citing papers authored by David P. Campbell

Since Specialization

Citations

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

Fields of papers citing papers by David P. Campbell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David P. Campbell

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