John W. Heitman

2.3k citations
37 papers · 1.7k indexed · 1 hit paper · h-index 20
Topics
HIV Research and Treatment (15 papers)Blood groups and transfusion (14 papers)Blood transfusion and management (10 papers)

In The Last Decade

John W. Heitman

37 papers receiving 1.7k citations

Hit Papers

Induction of a Striking Systemic Cytokine Cascade prior t...20092026201420202009100200300400500

Peers

John W. Heitman
Comparison fields: 5 of 113
  • Immunology 660
  • Virology 611
  • Infectious Diseases 420
  • Epidemiology 387
  • Molecular Biology 291
Replace Eva A. Operskalski with:
Eva A. Operskalski United States
Jack R. Davis United States
C. Gazengel France
P.L. Yap United Kingdom
J. D’Amaro Netherlands
Philippe Rouger France
Ann E. Hohenhaus United States
Jean‐Yves Muller France
Paula Dilger United Kingdom
Ute Hasiba United States
John W. Heitman relative to Eva A. Operskalski United States Eva A. Operskalski's profile →
Citations per field
00.5×4.7×
Eva A. Operskalski · 1×
Citations per year

Countries citing papers authored by John W. Heitman

Since Specialization
Citations

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

Fields of papers citing papers by John W. Heitman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John W. Heitman

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Heitman. A scholar is included among the top collaborators of John W. Heitman 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 John W. Heitman. John W. Heitman 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 11
3 2
4 7
5 23
6 9
7 74
8 12
9 7
10 29
11 36
12 101
13
Induction of a Striking Systemic Cytokine Cascade prior to Peak Viremia in Acute Human Immunodeficiency Virus Type 1 Infection, in Contrast to More Modest and Delayed Responses in Acute Hepatitis B and C Virus Infectionsbreakdown →
555
14 176
15 35
16 36
17 75
18 12
19 35
20 31

About John W. Heitman

John W. Heitman is a scholar working on Virology, Biochemistry and Hematology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), Blood groups and transfusion (14 papers) and Blood transfusion and management (10 papers). The work is most often cited by research in Virology (611 citations), Biochemistry (211 citations) and Immunology (660 citations). John W. Heitman has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Philip J. Norris, Rachael P. Jackman, Mila Lebedeva, Andrea Stacey, Persephone Borrow, Steven G. Self, Qin Li, Elizabeth Taylor, Dongfeng Li and Allan C. deCamp. Their work appears in journals such as Journal of Clinical Investigation, Blood and PLoS ONE.

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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