Jennifer Lising Roxas
- Infectious Diseases top 10%
- Molecular Biology
- Endocrinology top 5%
- Surgery
- Epidemiology
- Co-authors
- V. K. ViswanathanGayatri VedantamAthanasia KoutsourisGail HechtAmy BellmeyerMichael MallozziDale N. GerdingAnilrudh A. Venugopal
- Topics
- Escherichia coli research studies (9 papers)Clostridium difficile and Clostridium perfringens research (7 papers)Gut microbiota and health (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyPLoS ONE
- Partner nations
- United States
In The Last Decade
Jennifer Lising Roxas
17 papers receiving 475 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 239
- Molecular Biology 220
- Endocrinology 126
- Surgery 70
- Epidemiology 67
Countries citing papers authored by Jennifer Lising Roxas
This map shows the geographic impact of Jennifer Lising Roxas'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 Lising Roxas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Lising Roxas more than expected).
Fields of papers citing papers by Jennifer Lising Roxas
This network shows the impact of papers produced by Jennifer Lising Roxas. 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 Lising Roxas. The network helps show where Jennifer Lising Roxas may publish in the future.
Co-authorship network of co-authors of Jennifer Lising Roxas
This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Lising Roxas. A scholar is included among the top collaborators of Jennifer Lising Roxas 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 Lising Roxas. Jennifer Lising Roxas 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 | 9 | |
| 3 | 19 | |
| 4 | 43 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 21 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 14 | |
| 11 | 102 | |
| 12 | 18 | |
| 13 | 64 | |
| 14 | 91 | |
| 15 | 23 | |
| 16 | 1 | |
| 17 | 28 | |
| 18 | Comparison of Conventional Plate Assays with DNA-based Screening Protocols for Protease and Cellulase Production from Putative Bacillus Isolates | 4 |
About Jennifer Lising Roxas
Jennifer Lising Roxas is a scholar working on Endocrinology, Infectious Diseases and Neurology, having authored 18 papers that have together received 484 indexed citations. Recurring topics across this work include Escherichia coli research studies (9 papers), Clostridium difficile and Clostridium perfringens research (7 papers) and Gut microbiota and health (7 papers). The work is most often cited by research in Endocrinology (126 citations), Infectious Diseases (239 citations) and Gastroenterology (39 citations). Jennifer Lising Roxas has collaborated with scholars based in United States. Frequent co-authors include V. K. Viswanathan, Gayatri Vedantam, Athanasia Koutsouris, Gail Hecht, Amy Bellmeyer, Michael Mallozzi, Dale N. Gerding, Anilrudh A. Venugopal, Michelle M. Merrigan and Andrew W. Weflen. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.
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.