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
- 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 StatesFranceGermany
In The Last Decade
Robert E. Throm
22 papers receiving 498 citations
Peers
Comparison fields: 5 of 63
- Microbiology 68
- Oncology 183
- Genetics 181
- Physiology 120
- Hematology 49
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 117 | |
| 2 | 2019 | 69 | |
| 3 | 2001 | 63 | |
| 4 | 2020 | 43 | |
| 5 | 2014 | 43 | |
| 6 | 2000 | 27 | |
| 7 | 2001 | 26 | |
| 8 | 2014 | 19 | |
| 9 | 2008 | 17 | |
| 10 | 2020 | 15 | |
| 11 | 1977 | 13 | |
| 12 | 2024 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 1977 | 10 | |
| 15 | 1977 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2015 | 7 | |
| 18 | 2021 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2002 | 2 |
About Robert E. Throm
Robert E. Throm is a scholar working on Molecular Biology, Genetics, Oncology, Physiology and Electrical and Electronic Engineering, having authored 23 papers that have together received 519 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), CAR-T cell therapy research (6 papers), Syphilis Diagnosis and Treatment (4 papers), CRISPR and Genetic Engineering (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Reproductive tract infections research (3 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Electrical and Bioimpedance Tomography (2 papers). The work is most often cited by research in Microbiology (68 citations), Oncology (183 citations), Genetics (181 citations), Physiology (120 citations) and Hematology (49 citations). Robert E. Throm has collaborated with scholars based in United States, France and Germany. 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, Timothy Lockey and Suk See De Ravin. 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.