Robert E. Throm
Impact in
- Microbiology top 10%
- Reproductive tract infections research
-
- CAR-T cell therapy research
Papers in
-
- CRISPR and Genetic Engineering 4
- Viral Infectious Diseases and Gene Expression in Insects 3
- RNA modifications and cancer 2
- Genetics 8
- Virus-based gene therapy research 8
- Co-authors
- Stanley M. Spinola (4 shared papers)Sheng Zhou (8 shared papers)John T. Gray (3 shared papers)Antoinette F. Hood (2 shared papers)Kate R. Fortney (2 shared papers)Barry P. Katz (2 shared papers)Brian P. Sorrentino (2 shared papers)Christopher A. Elkins (2 shared papers)
- Journals
- Infection and Immunity (4 papers)Journal of Clinical Microbiology (3 papers)Molecular Therapy — Methods & Clinical Development (3 papers)Molecular Therapy (2 papers)Blood (2 papers)
- Partner nations
- United StatesFranceSingapore
In The Last Decade
Robert E. Throm
20 papers receiving 468 citations
Peers
Comparison fields: 5 of 60
- Microbiology 61
- Oncology 184
- Genetics 183
- Hematology 51
- Physiology 111
Countries citing papers authored by Robert E. Throm
This map shows the geographic impact of Robert E. Throm'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 Robert E. Throm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert E. Throm more than expected).
Fields of papers citing papers by Robert E. Throm
This network shows the impact of papers produced by Robert E. Throm. 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 Robert E. Throm. The network helps show where Robert E. Throm may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert E. Throm, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 110 | |
| 2 | 2019 | 67 | |
| 3 | 2001 | 60 | |
| 4 | 2020 | 42 | |
| 5 | 2014 | 41 | |
| 6 | 2000 | 25 | |
| 7 | 2001 | 24 | |
| 8 | 2014 | 18 | |
| 9 | 2020 | 15 | |
| 10 | 2008 | 14 | |
| 11 | 2020 | 11 | |
| 12 | 2024 | 10 | |
| 13 | 1977 | 10 | |
| 14 | 1977 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2015 | 7 | |
| 17 | 1977 | 7 | |
| 18 | 2024 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2019 | 2 |
About Robert E. Throm
Robert E. Throm is a scholar working on Molecular Biology, Genetics, Oncology, Physiology and Infectious Diseases, having authored 21 papers that have together received 485 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), CAR-T cell therapy research (6 papers), CRISPR and Genetic Engineering (4 papers), Syphilis Diagnosis and Treatment (4 papers), Reproductive tract infections research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Immune Cell Function and Interaction (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Microbiology (61 citations), Oncology (184 citations), Genetics (183 citations), Hematology (51 citations) and Physiology (111 citations). Robert E. Throm has collaborated with scholars based in United States, France and Singapore. Frequent co-authors include Stanley M. Spinola, Sheng Zhou, John T. Gray, Antoinette F. Hood, Kate R. Fortney, Barry P. Katz, Brian P. Sorrentino, Christopher A. Elkins, Michael R. Greene and Morvarid Moayeri. Their work appears in journals such as Infection and Immunity, Journal of Clinical Microbiology, Molecular Therapy — Methods & Clinical Development, Molecular Therapy and Blood.
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.