Samuel D. Rabkin

14.6k citations
170 papers · 11.1k indexed · 3 hit papers · h-index 55
Topics
Virus-based gene therapy research (127 papers)Herpesvirus Infections and Treatments (84 papers)CAR-T cell therapy research (44 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Samuel D. Rabkin

170 papers receiving 10.8k citations

Hit Papers

Conditionally replicating herpes simplex virus mutant, G2...1995202620052015200019952017250500750

Peers

Samuel D. Rabkin
Comparison fields: 5 of 115
  • Genetics 7.3k
  • Molecular Biology 5.4k
  • Oncology 4.9k
  • Epidemiology 3.4k
  • Immunology 1.4k
Replace Michel Perricaudet with:
Michel Perricaudet France
Tomoki Todo Japan
Rob C. Hoeben Netherlands
Manfred Gossen Germany
Izumu Saito Japan
H. Earl Ruley United States
Federico Mingozzi United States
Stefan Kochanek Germany
Susan M. Kingsman United Kingdom
Ulrike Blömer Germany
Samuel D. Rabkin relative to Michel Perricaudet France Michel Perricaudet's profile →
Citations per field
00.5×10×20×26×
Michel Perricaudet · 1×
Citations per year

Countries citing papers authored by Samuel D. Rabkin

Since Specialization
Citations

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

Fields of papers citing papers by Samuel D. Rabkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel D. Rabkin

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel D. Rabkin. A scholar is included among the top collaborators of Samuel D. Rabkin 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 Samuel D. Rabkin. Samuel D. Rabkin 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 2
2 13
3 10
4 77
5 37
6 97
7 1
8 51
9 83
10 59
11 37
12 197
13 29
14 70
15 68
16 26
17 279
18 36
19 56
20 99

About Samuel D. Rabkin

Samuel D. Rabkin is a scholar working on Genetics, Epidemiology and Biotechnology, having authored 170 papers that have together received 11.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (127 papers), Herpesvirus Infections and Treatments (84 papers) and CAR-T cell therapy research (44 papers). The work is most often cited by research in Genetics (7.3k citations), Oncology (4.9k citations) and Biotechnology (967 citations). Samuel D. Rabkin has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Robert L. Martuza, Tomoki Todo, Dipongkor Saha, William D. Hunter, Hiroaki Wakimoto, R L Martuza, Toshihiro Mineta, Takahito Yazaki, Masahiro Toda and E. Antonio Chiocca. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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