Alan M. Schultz

1.8k citations
27 papers · 1.5k · h-index 18

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Glycosylation and Glycoproteins Research 5
    • vaccines and immunoinformatics approaches 5
    • HIV Research and Treatment 12

Alan M. Schultz

26 papers receiving 1.4k citations

Peers

Alan M. Schultz
Comparison fields: 5 of 82
  • Virology 476
  • Immunology 360
  • Molecular Biology 849
  • Genetics 308
  • Cell Biology 177
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Gary W. Smythers United States
Patrick Kanda United States
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C. Dingwall United Kingdom
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Evangelos Christodoulou United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Alan M. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by Alan M. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan M. Schultz. 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 Alan M. Schultz. The network helps show where Alan M. Schultz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985244
2 1988222
3 2005201
4 198494
5 198493
6 198781
7 198578
8 197176
9 197171
10 198245
11 200042
12 197840
13 197938
14 199726
15 199326
16 200124
17 198820
18 198318
19 198517
20 198016

About Alan M. Schultz

Alan M. Schultz is a scholar working on Molecular Biology, Virology, Immunology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Virus-based gene therapy research (5 papers), Glycosylation and Glycoproteins Research (5 papers), vaccines and immunoinformatics approaches (5 papers), Hepatitis B Virus Studies (4 papers) and Carbohydrate Chemistry and Synthesis (3 papers). The work is most often cited by research in Virology (476 citations), Immunology (360 citations), Molecular Biology (849 citations), Genetics (308 citations) and Cell Biology (177 citations). Alan M. Schultz has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Stephen Oroszlan, Louis E. Henderson, Ellen A. Garber, Hidesaburô Hanafusa, Alan Rein, Saul Roseman, Manju Basu, Ulf R. Rapp, Subhash Basu and Wayne C. Koff. Their work appears in journals such as Virology, AIDS, Journal of Biological Chemistry, AIDS Research and Human Retroviruses and Biochemical and Biophysical Research Communications.

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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