David H. DeHeer

1.0k total citations
32 papers, 809 citations indexed

About

David H. DeHeer is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, David H. DeHeer has authored 32 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Molecular Biology. Recurrent topics in David H. DeHeer's work include T-cell and B-cell Immunology (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Orthopaedic implants and arthroplasty (5 papers). David H. DeHeer is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Orthopaedic implants and arthroplasty (5 papers). David H. DeHeer collaborates with scholars based in United States and France. David H. DeHeer's co-authors include Thomas S. Edgington, Alfred B. Swanson, Linda K. Curtiss, Stephen R. Brown, Richard West, Scott R. Owens, Merle S. Olson, Lindsey B. De Lott, R. Neal Pinckard and Aaron DeVries and has published in prestigious journals such as The Journal of Cell Biology, The Journal of Immunology and Clinical Orthopaedics and Related Research.

In The Last Decade

David H. DeHeer

32 papers receiving 724 citations

Peers

David H. DeHeer
Comparison fields: 5 of 92
  • Immunology 286
  • Surgery 281
  • Radiology, Nuclear Medicine and Imaging 159
  • Molecular Biology 146
  • Rheumatology 92
Replace V R Masakowski with:
V R Masakowski United States
D Pencev United States
G Mauduit France
J. Rauterberg Germany
G Boltz-Nitulescu Austria
T. K. Zirbes Germany
Sandra Bordin United States
Timothy E. Quan United States
S Seppä United States
Arthur C. Hill United States
V R Masakowski United States View profile →
Citations per field, relative to David H. DeHeer
David H. DeHeer · 1×
Citations per year, relative to David H. DeHeer
David H. DeHeer · 1×

Countries citing papers authored by David H. DeHeer

Since Specialization
Citations

This map shows the geographic impact of David H. DeHeer'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. DeHeer 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. DeHeer more than expected).

Fields of papers citing papers by David H. DeHeer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. DeHeer

This figure shows the co-authorship network connecting the top 25 collaborators of David H. DeHeer. A scholar is included among the top collaborators of David H. DeHeer 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. DeHeer. David H. DeHeer 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 2
2 33
3 34
4 20
5 82
6 14
7 49
8 48
9 35
10 30
11 13
12 44
13 1
14 8
15 24
16 68
17 9
18 6
19
Autoantigenic specificities of liver mitochondrial membranes.
5
20
Antinuclear antibodies: their significance in scleroderma.
21

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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