David W. Alling

11.1k citations
122 papers · 8.5k indexed · 2 hit papers · h-index 45

David W. Alling

118 papers receiving 7.8k citations

Hit Papers

A Comparison of Amphotericin B Alone and Combined with Fl...6311976202619922009200400600

Peers

David W. Alling
Comparison fields: 5 of 166
  • Hepatology 959
  • Epidemiology 3.4k
  • Infectious Diseases 1.8k
  • Immunology 1.7k
  • Genetics 797
Replace M. Ho with:
M. Ho Hong Kong
Rein Saral United States
Sander J. H. van Deventer Netherlands
YL Lau Hong Kong
Lloyd Mayer United States
Laurent Beaugerie France
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D P Jewell United Kingdom
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Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by David W. Alling

Since Specialization
Citations

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

Fields of papers citing papers by David W. Alling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside David W. Alling, 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 David W. Alling Line = papers co-authored together David W. Alling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
The After-History of Pulmonary Tuberculosis1
20150
2
Reducing Amphotericin B Reactions
20150
3 1999110
4 199712
5 199731
6 199682
7
Differential usage of T-cell receptor V beta gene families by CD4+ and CD8+ T cells in patients with CD8hi common variable immunodeficiency: evidence of a post-thymic effect.
19967
8 1994164
9 199449
10 199491
11 19937
12 199286
13 199212
14 1992212
15 199130
16 199066
17 198937
18 198616
19 19643
20 196016

About David W. Alling

David W. Alling is a scholar working on Infectious Diseases, Virology and Immunology, having authored 122 papers that have together received 8.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Tuberculosis Research and Epidemiology (8 papers), Immune Cell Function and Interaction (8 papers), Antifungal resistance and susceptibility (8 papers), Virus-based gene therapy research (7 papers), T-cell and B-cell Immunology (6 papers), Respiratory viral infections research (6 papers) and Immunodeficiency and Autoimmune Disorders (6 papers). The work is most often cited by research in Hepatology (959 citations), Epidemiology (3.4k citations) and Infectious Diseases (1.8k citations). David W. Alling has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Michael M. Frank, Jeffrey A. Gelfand, Richard J. Sherins, Nora V. Bergasa, Sheldon Wolff, E. Anthony Jones, David C. Dale, Thomas Talbot, Joseph E. Parrillo and Robert M. Chanock. Their work appears in journals such as New England Journal of Medicine, The Journal of Immunology, The Journal of Infectious Diseases, Biometrika and The American Journal of Medicine.

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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