Jordan Brown
- Molecular Biology top 5%
- Infectious Diseases top 2%
- Pulmonary and Respiratory Medicine top 5%
- Surgery top 10%
- Epidemiology top 10%
- Co-authors
- Vincent FunariIliyan D. IlievDavid M. UnderhillHanlin L. WangJie TangDermot McGovernJohn ProvetPablo Morales
- Topics
- CRISPR and Genetic Engineering (6 papers)Prostate Cancer Diagnosis and Treatment (6 papers)Urologic and reproductive health conditions (6 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Jordan Brown
49 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 1.5k
- Infectious Diseases 723
- Pulmonary and Respiratory Medicine 636
- Surgery 473
- Epidemiology 400
Countries citing papers authored by Jordan Brown
This map shows the geographic impact of Jordan Brown'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 Jordan Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan Brown more than expected).
Fields of papers citing papers by Jordan Brown
This network shows the impact of papers produced by Jordan Brown. 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 Jordan Brown. The network helps show where Jordan Brown may publish in the future.
Co-authorship network of co-authors of Jordan Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Jordan Brown. A scholar is included among the top collaborators of Jordan Brown 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 Jordan Brown. Jordan Brown 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 | 4 | |
| 4 | 20 | |
| 5 | 15 | |
| 6 | 5 | |
| 7 | Malassezia Is Associated with Crohn’s Disease and Exacerbates Colitis in Mouse Modelsbreakdown → | 311 |
| 8 | 48 | |
| 9 | 36 | |
| 10 | 18 | |
| 11 | 75 | |
| 12 | Interactions Between Commensal Fungi and the C-Type Lectin Receptor Dectin-1 Influence Colitisbreakdown → | 827 |
| 13 | Wound Healing Related microRNAs Differentially Expressed in Diabetic Cornea | 1 |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 76 | |
| 17 | 21 | |
| 18 | 20 | |
| 19 | 3 | |
| 20 | 59 |
About Jordan Brown
Jordan Brown is a scholar working on Aging, Urology and Reproductive Medicine, having authored 51 papers that have together received 3.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Urologic and reproductive health conditions (6 papers). The work is most often cited by research in Infectious Diseases (723 citations), Reproductive Medicine (309 citations) and Gastroenterology (199 citations). Jordan Brown has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Vincent Funari, Iliyan D. Iliev, David M. Underhill, Hanlin L. Wang, Jie Tang, Dermot McGovern, John Provet, Pablo Morales, Quoclinh Nguyen and Phillip Fleshner. Their work appears in journals such as Science, Nucleic Acids Research and Nature Communications.
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.