David H. Presky

7.1k total citations · 3 hit papers
53 papers, 6.1k citations indexed

About

David H. Presky is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David H. Presky has authored 53 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Immunology, 15 papers in Oncology and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David H. Presky's work include Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (17 papers) and Toxin Mechanisms and Immunotoxins (16 papers). David H. Presky is often cited by papers focused on Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (17 papers) and Toxin Mechanisms and Immunotoxins (16 papers). David H. Presky collaborates with scholars based in United States, Switzerland and Italy. David H. Presky's co-authors include Ueli Gubler, Maurice K. Gately, A S Stern, Jeanne Magram, Luciano Adorini, Lisa J. Minetti, Mauro Biffi, Francesco Sinigaglia, Lars Rogge and Louis M. Renzetti and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

David H. Presky

53 papers receiving 5.9k citations

Hit Papers

THE INTERLEUKIN-12/INTERLEUKIN-12-RECEPTOR SYSTEM: Role i... 1996 2026 2006 2016 1998 1997 1996 250 500 750 1000

Peers

David H. Presky
Comparison fields: 5 of 108
  • Immunology 4.3k
  • Oncology 1.4k
  • Molecular Biology 1.1k
  • Epidemiology 776
  • Genetics 498
Replace Kenji Kishihara with:
Kenji Kishihara Japan
Charles R. Maliszewski United States
Richard J. Armitage United States
David N. Posnett United States
Isabelle Durand France
Thierry Defrance France
Dulce Soler United States
M P Beckmann United States
Maria‐Grazia Roncarolo Italy
Peter J. L. Lane United Kingdom
Kenji Kishihara Japan View profile →
Citations per field, relative to David H. Presky
David H. Presky · 1×
Citations per year, relative to David H. Presky
David H. Presky · 1×

Countries citing papers authored by David H. Presky

Since Specialization
Citations

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

Fields of papers citing papers by David H. Presky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Presky

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Presky. A scholar is included among the top collaborators of David H. Presky 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 H. Presky. David H. Presky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 8
2 94
3 141
4 32
5 48
6 13
7 115
8 33
9 20
10 79
11 74
12 334
13 12
14 27
15 100
16 1
17 2
18 333
19 9
20 15

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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