David H. Presky

7.1k citations
53 papers · 6.1k indexed · 3 hit papers · h-index 33
Topics
Immune Cell Function and Interaction (20 papers)T-cell and B-cell Immunology (17 papers)Toxin Mechanisms and Immunotoxins (16 papers)

In The Last Decade

David H. Presky

53 papers receiving 5.9k citations

Hit Papers

THE INTERLEUKIN-12/INTERLEUKIN-12-RECEPTOR SYSTEM: Role i...19962026200620161998199719962505007501000

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
Jane Hu‐Li United States
Gregorio Aversa France
Junichiro Mizuguchi Japan
Jean‐François Gauchat Canada
Thibaut De Smedt Belgium
E. Peter Rieber Germany
Charles R. Maliszewski United States
Thierry Defrance France
J Ohara United States
David H. Presky relative to Kenji Kishihara Japan Kenji Kishihara's profile →
Citations per field
00.5×1.5×
Kenji Kishihara · 1×
Citations per year

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
#WorkIndexed 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

About David H. Presky

David H. Presky is a scholar working on Immunology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 53 papers that have together received 6.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (17 papers) and Toxin Mechanisms and Immunotoxins (16 papers). The work is most often cited by research in Immunology (4.3k citations), Immunology and Allergy (421 citations) and Oncology (1.4k citations). David H. Presky has collaborated with scholars based in United States, Switzerland and Italy. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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