David H. Margulies

11.3k citations
179 papers · 9.4k indexed · 2 hit papers · h-index 54
Topics
Immune Cell Function and Interaction (95 papers)T-cell and B-cell Immunology (95 papers)Immunotherapy and Immune Responses (65 papers)
Partner nations
United StatesJapanIsrael

In The Last Decade

David H. Margulies

173 papers receiving 9.0k citations

Hit Papers

The Biochemistry and Cell Biology of Antigen Processing a...197720261993200919931977250500750

Peers

David H. Margulies
Comparison fields: 5 of 129
  • Immunology 6.9k
  • Molecular Biology 2.9k
  • Radiology, Nuclear Medicine and Imaging 1.8k
  • Oncology 1.0k
  • Epidemiology 906
Replace Olaf Rötzschke with:
Olaf Rötzschke Germany
Kirsten Falk Germany
John E. Coligan United States
Susan K. Pierce United States
H M Grey United States
J L Strominger United States
Mark A. Saper United States
Gregg J. Silverman United States
Joan C. Gorga United States
Ted H. Hansen United States
David H. Margulies relative to Olaf Rötzschke Germany Olaf Rötzschke's profile →
Citations per field
00.5×1.5×
Olaf Rötzschke · 1×
Citations per year

Countries citing papers authored by David H. Margulies

Since Specialization
Citations

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

Fields of papers citing papers by David H. Margulies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Margulies. A scholar is included among the top collaborators of David H. Margulies 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. Margulies. David H. Margulies 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 9
3 2
4 93
5 59
6 68
7 9
8 12
9 26
10 21
11
VARIABLE MHC CLASS I ENGAGEMENT BY LY49 NATURAL KILLER CELL RECEPTORS DEMONSTRATED BY THE CRYSTAL STRUCTURE OF LY49C BOUND TO H-2K(B)
0
12 22
13 8
14 55
15 27
16 132
17 100
18 1
19 9
20 14

About David H. Margulies

David H. Margulies is a scholar working on Immunology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 179 papers that have together received 9.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (95 papers), T-cell and B-cell Immunology (95 papers) and Immunotherapy and Immune Responses (65 papers). The work is most often cited by research in Immunology (6.9k citations), Virology (475 citations) and Radiology, Nuclear Medicine and Imaging (1.8k citations). David H. Margulies has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Ronald N. Germain, Kannan Natarajan, Lisa F. Boyd, Matthew D. Scharff, Roy A. Mariuzza, Malcolm L. Gefter, Glen A. Evans, J G Seidman, Steven Kozlowski and Maripat Corr. Their work appears in journals such as Nature, Science and Cell.

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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