David Allman

17.8k total citations · 3 hit papers
112 papers, 11.0k citations indexed

About

David Allman is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, David Allman has authored 112 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Immunology, 21 papers in Molecular Biology and 15 papers in Hematology. Recurrent topics in David Allman's work include T-cell and B-cell Immunology (63 papers), Immune Cell Function and Interaction (62 papers) and Immunotherapy and Immune Responses (37 papers). David Allman is often cited by papers focused on T-cell and B-cell Immunology (63 papers), Immune Cell Function and Interaction (62 papers) and Immunotherapy and Immune Responses (37 papers). David Allman collaborates with scholars based in United States, United Kingdom and France. David Allman's co-authors include Juli P. Miller, Warren S. Pear, Michael P. Cancro, Jon C. Aster, Shiv Pillai, Richard R. Hardy, Lanwei Xu, S E Ferguson, Xin Yu and Alexander L. Dent and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David Allman

110 papers receiving 10.9k citations

Hit Papers

Control of Inflammation, Cytokine Expression, and Germina... 1997 2026 2006 2016 1997 1999 2023 250 500 750

Peers

David Allman
Comparison fields: 5 of 128
  • Immunology 6.7k
  • Molecular Biology 3.3k
  • Oncology 2.4k
  • Hematology 1.1k
  • Cancer Research 769
Replace Ashley R. Dunn with:
Ashley R. Dunn Australia
Christoph Huber Germany
Otto Majdic Austria
Richard A. Kroczek Germany
William C. Fanslow United States
Antal Rot Austria
Vassiliki A. Boussiotis United States
Boris Reizis United States
Carola G. Vinuesa Australia
Kim L. Stocking United States
Ashley R. Dunn Australia View profile →
Citations per field, relative to David Allman
David Allman · 1×
Citations per year, relative to David Allman
David Allman · 1×

Countries citing papers authored by David Allman

Since Specialization
Citations

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

Fields of papers citing papers by David Allman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Allman

This figure shows the co-authorship network connecting the top 25 collaborators of David Allman. A scholar is included among the top collaborators of David Allman 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 Allman. David Allman 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
Development of an mRNA-lipid nanoparticle vaccine against Lyme disease breakdown →
46
2 39
3 3
4 9
5 179
6 59
7 72
8 50
9 40
10 151
11 235
12 33
13 109
14 85
15 61
16 202
17 211
18 447
19 95
20 50

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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