Jennifer Willert
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- CAR-T cell therapy research
Papers in
- Oncology 14
- CAR-T cell therapy research 11
- Co-authors
- Roel Nusse (1 shared paper)Patrick O. Brown (1 shared paper)Mirjam T. Epping (1 shared paper)Jonathan R. Pollack (1 shared paper)Fariba Navid (3 shared papers)Najat C. Daw (3 shared papers)Laleh Daneshvar (2 shared papers)Philip H. Cogen (2 shared papers)
- Journals
- Blood (7 papers)Journal of Pediatric Hematology/Oncology (5 papers)Pediatric Blood & Cancer (3 papers)Transplantation and Cellular Therapy (2 papers)Journal of Developmental & Behavioral Pediatrics (2 papers)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Jennifer Willert
37 papers receiving 921 citations
Peers
Comparison fields: 5 of 68
- Genetics 85
- Oncology 191
- Molecular Biology 436
- Hematology 62
- Pulmonary and Respiratory Medicine 155
Countries citing papers authored by Jennifer Willert
This map shows the geographic impact of Jennifer Willert'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 Jennifer Willert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Willert more than expected).
Fields of papers citing papers by Jennifer Willert
This network shows the impact of papers produced by Jennifer Willert. 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 Jennifer Willert. The network helps show where Jennifer Willert may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer Willert, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 335 | |
| 2 | 2008 | 121 | |
| 3 | 1994 | 79 | |
| 4 | 2014 | 40 | |
| 5 | 2017 | 40 | |
| 6 | 2022 | 40 | |
| 7 | 1995 | 33 | |
| 8 | 2009 | 28 | |
| 9 | 2010 | 27 | |
| 10 | 2000 | 25 | |
| 11 | 2016 | 18 | |
| 12 | 2004 | 16 | |
| 13 | 2008 | 14 | |
| 14 | 2021 | 12 | |
| 15 | 2012 | 12 | |
| 16 | 2008 | 11 | |
| 17 | 2016 | 9 | |
| 18 | 2009 | 8 | |
| 19 | 1999 | 7 | |
| 20 | 1996 | 7 |
About Jennifer Willert
Jennifer Willert is a scholar working on Oncology, Molecular Biology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Hematology, having authored 37 papers that have together received 934 indexed citations. Recurring topics across this work include CAR-T cell therapy research (11 papers), Sarcoma Diagnosis and Treatment (6 papers), Acute Lymphoblastic Leukemia research (5 papers), Biomedical Ethics and Regulation (5 papers), Ethics and Legal Issues in Pediatric Healthcare (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Palliative Care and End-of-Life Issues (2 papers). The work is most often cited by research in Genetics (85 citations), Oncology (191 citations), Molecular Biology (436 citations), Hematology (62 citations) and Pulmonary and Respiratory Medicine (155 citations). Jennifer Willert has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Roel Nusse, Patrick O. Brown, Mirjam T. Epping, Jonathan R. Pollack, Fariba Navid, Najat C. Daw, Laleh Daneshvar, Philip H. Cogen, M. Beth McCarville and Wayne L. Furman. Their work appears in journals such as Blood, Journal of Pediatric Hematology/Oncology, Pediatric Blood & Cancer, Transplantation and Cellular Therapy and Journal of Developmental & Behavioral Pediatrics.
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.