Daniel Cook

4.3k citations
169 papers · 3.3k · h-index 30

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Surgery top 2%
    • Transplantation: Methods and Outcomes
    • Organ Transplantation Techniques and Outcomes

Papers in

    • Transplantation: Methods and Outcomes 25
    • Organ Transplantation Techniques and Outcomes 9
    • Renal Transplantation Outcomes and Treatments 29

Daniel Cook

142 papers receiving 3.1k citations

Peers

Daniel Cook
Comparison fields: 5 of 150
  • Transplantation 1.2k
  • Surgery 1.2k
  • Theoretical Computer Science 30
  • Nephrology 123
  • Hepatology 132
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Citations per field
00.5×
John A. Powelson · 1×
Citations per year

Countries citing papers authored by Daniel Cook

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Cook. 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 Daniel Cook. The network helps show where Daniel Cook may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Cook, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Cook Line = papers co-authored together Daniel Cook links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002330
2 2004254
3 2007125
4 2004107
5
Anti-CD18 antibody attenuates neutropenia and alveolar capillary-membrane injury during gram-negative sepsis.
1991100
6 200298
7 197492
8 199089
9 199887
10 200585
11 200376
12 200269
13 198869
14 199664
15 198763
16 200060
17 200152
18 200450
19 200549
20 200545

About Daniel Cook

Daniel Cook is a scholar working on Surgery, Transplantation, Literature and Literary Theory, Pathology and Forensic Medicine and Sociology and Political Science, having authored 169 papers that have together received 3.3k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (29 papers), Transplantation: Methods and Outcomes (25 papers), Spine and Intervertebral Disc Pathology (17 papers), Literature: history, themes, analysis (14 papers), Organ Transplantation Techniques and Outcomes (9 papers), Organ Donation and Transplantation (8 papers), Liver physiology and pathology (6 papers) and Renal Diseases and Glomerulopathies (6 papers). The work is most often cited by research in Transplantation (1.2k citations), Surgery (1.2k citations), Theoretical Computer Science (30 citations), Nephrology (123 citations) and Hepatology (132 citations). Daniel Cook has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Stuart M. Flechner, James B. Young, Patrick M. McCarthy, David A. Goldfarb, Mohamad H. Yamani, Barbara Mastroianni, Charles S. Modlin, Kathy Savas, Randall C. Starling and Andrew C. Novick. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Transplantation, American Journal of Transplantation, The International Journal of Spine Surgery and Circulation.

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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