January Weiner
- Infectious Diseases top 1%
- Molecular Biology top 5%
- Immunology top 2%
- Epidemiology top 5%
- Surgery top 10%
- Co-authors
- Stefan H. E. KaufmannErich Bornberg‐BauerJeroen MaertzdorfHans‐Joachim MollenkopfC. Fordham von ReynMarc P. HoeppnerHinrich SchulenburgChristian A. Ganoza
- Topics
- Tuberculosis Research and Epidemiology (27 papers)Mycobacterium research and diagnosis (15 papers)Bioinformatics and Genomic Networks (7 papers)
- Cited by
- Infectious DiseasesAgingImmunology
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
January Weiner
71 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 134
- Infectious Diseases 1.4k
- Molecular Biology 1.3k
- Immunology 964
- Epidemiology 937
- Surgery 384
Countries citing papers authored by January Weiner
This map shows the geographic impact of January Weiner'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 January Weiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites January Weiner more than expected).
Fields of papers citing papers by January Weiner
This network shows the impact of papers produced by January Weiner. 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 January Weiner. The network helps show where January Weiner may publish in the future.
Co-authorship network of co-authors of January Weiner
This figure shows the co-authorship network connecting the top 25 collaborators of January Weiner. A scholar is included among the top collaborators of January Weiner 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 January Weiner. January Weiner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 22 | |
| 8 | 43 | |
| 9 | 7 | |
| 10 | 8 | |
| 11 | 70 | |
| 12 | 24 | |
| 13 | 36 | |
| 14 | 88 | |
| 15 | 29 | |
| 16 | 129 | |
| 17 | 19 | |
| 18 | 17 | |
| 19 | 101 | |
| 20 | 55 |
About January Weiner
January Weiner is a scholar working on Infectious Diseases, Microbiology and Immunology, having authored 73 papers that have together received 3.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (27 papers), Mycobacterium research and diagnosis (15 papers) and Bioinformatics and Genomic Networks (7 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Aging (90 citations) and Immunology (964 citations). January Weiner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Stefan H. E. Kaufmann, Erich Bornberg‐Bauer, Jeroen Maertzdorf, Hans‐Joachim Mollenkopf, C. Fordham von Reyn, Marc P. Hoeppner, Hinrich Schulenburg, Christian A. Ganoza, Anca Dorhoi and Dirk Repsilber. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.
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.