John R. Daniels

44 total papers · 2.9k total citations
34 papers, 2.2k citations indexed

About

John R. Daniels is a scholar working on Surgery, Oncology and Hepatology. According to data from OpenAlex, John R. Daniels has authored 34 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 8 papers in Oncology and 7 papers in Hepatology. Recurrent topics in John R. Daniels's work include Chemotherapy-induced cardiotoxicity and mitigation (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Hydrocarbon exploration and reservoir analysis (3 papers). John R. Daniels is often cited by papers focused on Chemotherapy-induced cardiotoxicity and mitigation (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Hydrocarbon exploration and reservoir analysis (3 papers). John R. Daniels collaborates with scholars based in United States, Australia and France. John R. Daniels's co-authors include Gerald S. Lazarus, Harold M. Fullmer, Robert S. Brown, Margaret E. Billingham, Michael R. Bristow, Jay W. Mason, Gary Lieskovsky, Donald G. Skinner, Howard A. Bladen and Stuart D. Boyd and has published in prestigious journals such as Science, New England Journal of Medicine and Journal of Clinical Investigation.

In The Last Decade

John R. Daniels

33 papers receiving 2.0k citations

Author Peers

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

Author						Papers	Cites
John R. Daniels	649	627	466	365	278	34	2.2k
Piet J. Slootweg	721 1.1×	701 1.1×	285 0.6×	520 1.4×	490 1.8×	64	2.4k
Jukka Melkko	758 1.2×	399 0.6×	214 0.5×	256 0.7×	547 2.0×	38	2.5k
Gerald Fine	392 0.6×	776 1.2×	470 1.0×	652 1.8×	301 1.1×	51	2.5k
Margaret M. Grimes	536 0.8×	389 0.6×	154 0.3×	447 1.2×	341 1.2×	50	2.1k
Harlan I. Firminger	785 1.2×	1.1k 1.8×	265 0.6×	684 1.9×	421 1.5×	22	2.8k
Rüdiger P. Laubender	799 1.2×	376 0.6×	227 0.5×	328 0.9×	353 1.3×	60	2.3k
Peter Teeling	208 0.3×	375 0.6×	401 0.9×	261 0.7×	442 1.6×	39	2.2k
Johann Lorenzen	500 0.8×	362 0.6×	305 0.7×	184 0.5×	659 2.4×	75	2.4k
Takeshi Kashima	839 1.3×	472 0.8×	503 1.1×	545 1.5×	882 3.2×	70	2.7k
Søren Daugaard	500 0.8×	331 0.5×	331 0.7×	658 1.8×	186 0.7×	70	1.8k

Countries citing papers authored by John R. Daniels

Since Specialization

Citations

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

Fields of papers citing papers by John R. Daniels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Daniels. 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 John R. Daniels. The network helps show where John R. Daniels may publish in the future.

Co-authorship network of co-authors of John R. Daniels

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Daniels. A scholar is included among the top collaborators of John R. Daniels 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 John R. Daniels. John R. Daniels 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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