D H Rubin

1.3k citations
35 papers · 1.0k indexed · h-index 16
Topics
Viral gastroenteritis research and epidemiology (27 papers)Virus-based gene therapy research (18 papers)Immune Cell Function and Interaction (6 papers)
Partner nations
United StatesAustralia

In The Last Decade

D H Rubin

34 papers receiving 959 citations

Peers

D H Rubin
Comparison fields: 5 of 80
  • Infectious Diseases 661
  • Genetics 459
  • Immunology 275
  • Epidemiology 179
  • Animal Science and Zoology 174
Replace T. Konno with:
T. Konno Japan
Teresa J. Broering United States
M M Lai United States
RichardG Wyatt United States
Elly Cheng United States
Miguel Rojas Peru
Stefan Taube Germany
M. Homma Japan
Barry Benaissa-Trouw Netherlands
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D H Rubin relative to T. Konno Japan T. Konno's profile →
Citations per field
00.5×1.7×
T. Konno · 1×
Citations per year

Countries citing papers authored by D H Rubin

Since Specialization
Citations

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

Fields of papers citing papers by D H Rubin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D H Rubin

This figure shows the co-authorship network connecting the top 25 collaborators of D H Rubin. A scholar is included among the top collaborators of D H Rubin 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 D H Rubin. D H Rubin 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 17
2 12
3 11
4 14
5 29
6 36
7 10
8 7
9
Intraepithelial lymphocytes contain virus-specific, MHC-restricted cytotoxic cell precursors after gut mucosal immunization with reovirus serotype 1/Lang.
46
10 26
11 166
12 73
13 91
14 1
15 12
16 3
17 3
18 51
19 95
20
Application of ultrasound to experimentally induced neuromas in dogs.
1

About D H Rubin

D H Rubin is a scholar working on Infectious Diseases, Endocrinology and Genetics, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (27 papers), Virus-based gene therapy research (18 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Infectious Diseases (661 citations), Animal Science and Zoology (174 citations) and Genetics (459 citations). D H Rubin has collaborated with scholars based in United States and Australia. Frequent co-authors include John J. Cebra, Sham London, Bernard N. Fields, Robert D. Shaw, Harry B. Greenberg, Arthur O. Anderson, B N Fields, Michael J. Kornstein, William V. Williams and Daniel B. Hrdy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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