Laura Evgin
Impact in
Papers in
- Co-authors
- Richard G. Vile (19 shared papers)John C. Bell (6 shared papers)Theresa Falls (4 shared papers)Caroline J. Breitbach (2 shared papers)David H. Kirn (2 shared papers)Kelley A. Parato (2 shared papers)Jill Thompson (14 shared papers)Kevin G. Shim (10 shared papers)
- Journals
- Molecular Therapy (6 papers)Molecular Therapy — Oncolytics (5 papers)Nature Communications (3 papers)Cancer Immunology Research (2 papers)Neuro-Oncology (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Laura Evgin
27 papers receiving 1.0k citations
Laura Evgin's Hit Papers
Peers
Comparison fields: 5 of 53
- Oncology 614
- Genetics 669
- Biotechnology 114
- Immunology 240
- Animal Science and Zoology 74
Countries citing papers authored by Laura Evgin
This map shows the geographic impact of Laura Evgin'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 Laura Evgin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Evgin more than expected).
Fields of papers citing papers by Laura Evgin
This network shows the impact of papers produced by Laura Evgin. 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 Laura Evgin. The network helps show where Laura Evgin may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Evgin, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 240 | |
| 2 | 2011 | 167 | |
| 3 | 2020 | 98 | |
| 4 | Direct in vivo CAR T cell engineering Hit paper breakdown → | 2024 | 67 |
| 5 | 2016 | 65 | |
| 6 | 2020 | 57 | |
| 7 | 2020 | 49 | |
| 8 | 2024 | 41 | |
| 9 | 2018 | 40 | |
| 10 | 2019 | 36 | |
| 11 | 2010 | 29 | |
| 12 | 2021 | 28 | |
| 13 | 2014 | 21 | |
| 14 | 2017 | 19 | |
| 15 | 2018 | 19 | |
| 16 | 2017 | 18 | |
| 17 | 2019 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2016 | 10 |
About Laura Evgin
Laura Evgin is a scholar working on Oncology, Genetics, Molecular Biology, Immunology and Animal Science and Zoology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), CAR-T cell therapy research (17 papers), Immunotherapy and Immune Responses (8 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Animal Virus Infections Studies (3 papers), Cancer Research and Treatments (3 papers), Immune Cell Function and Interaction (3 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (614 citations), Genetics (669 citations), Biotechnology (114 citations), Immunology (240 citations) and Animal Science and Zoology (74 citations). Laura Evgin has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Richard G. Vile, John C. Bell, Theresa Falls, Caroline J. Breitbach, David H. Kirn, Kelley A. Parato, Jill Thompson, Kevin G. Shim, Jason M. Tonne and Matthew Schuelke. Their work appears in journals such as Molecular Therapy, Molecular Therapy — Oncolytics, Nature Communications, Cancer Immunology Research and Neuro-Oncology.
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.