Jennifer L. Modliszewski
- Plant Science top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Genetics top 5%
- Nature and Landscape Conservation top 10%
- Co-authors
- John H. WillisKevin M. WrightCarrie A. WuDavid B. LowryGregory P. CopenhaverMichael D. PuruggananMark C. UngererTrudy F. C. Mackay
- Topics
- Gut microbiota and health (4 papers)Genetic diversity and population structure (4 papers)CAR-T cell therapy research (3 papers)
- Partner nations
- United StatesCanadaSouth Africa
In The Last Decade
Jennifer L. Modliszewski
25 papers receiving 877 citations
Peers
Comparison fields: 5 of 97
- Plant Science 401
- Molecular Biology 377
- Ecology, Evolution, Behavior and Systematics 349
- Genetics 341
- Nature and Landscape Conservation 140
Countries citing papers authored by Jennifer L. Modliszewski
This map shows the geographic impact of Jennifer L. Modliszewski'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 L. Modliszewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer L. Modliszewski more than expected).
Fields of papers citing papers by Jennifer L. Modliszewski
This network shows the impact of papers produced by Jennifer L. Modliszewski. 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 L. Modliszewski. The network helps show where Jennifer L. Modliszewski may publish in the future.
Co-authorship network of co-authors of Jennifer L. Modliszewski
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer L. Modliszewski. A scholar is included among the top collaborators of Jennifer L. Modliszewski 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 Jennifer L. Modliszewski. Jennifer L. Modliszewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 24 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 18 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | 58 | |
| 15 | 36 | |
| 16 | 38 | |
| 17 | 6 | |
| 18 | 23 | |
| 19 | 62 | |
| 20 | 10 |
About Jennifer L. Modliszewski
Jennifer L. Modliszewski is a scholar working on Endocrinology, Molecular Biology and Biotechnology, having authored 28 papers that have together received 894 indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Genetic diversity and population structure (4 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (349 citations), Genetics (341 citations) and Nature and Landscape Conservation (140 citations). Jennifer L. Modliszewski has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include John H. Willis, Kevin M. Wright, Carrie A. Wu, David B. Lowry, Gregory P. Copenhaver, Michael D. Purugganan, Mark C. Ungerer, Trudy F. C. Mackay, John H. Willis and Arielle M. Cooley. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and Immunity.
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.