Janina Geiler
- Immunology top 10%
- Molecular Biology
- Epidemiology top 10%
- Pharmacology top 5%
- Infectious Diseases top 10%
- Co-authors
- Jindřich ČinátlMartin MichaelisMichael McDermottHans Wilhelm DoerrPatchima SithisarnMaya H BuchKlaus LangerPaul Emery
- Topics
- Influenza Virus Research Studies (4 papers)Immune Cell Function and Interaction (4 papers)Systemic Lupus Erythematosus Research (4 papers)
- Cited by
- PharmacologyImmunologyEpidemiology
- Journals
- PLoS ONEBiochemical and Biophysical Research CommunicationsAnnals of the Rheumatic Diseases
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Janina Geiler
16 papers receiving 906 citations
Peers
Comparison fields: 5 of 93
- Immunology 339
- Molecular Biology 278
- Epidemiology 250
- Pharmacology 144
- Infectious Diseases 121
Countries citing papers authored by Janina Geiler
This map shows the geographic impact of Janina Geiler'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 Janina Geiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janina Geiler more than expected).
Fields of papers citing papers by Janina Geiler
This network shows the impact of papers produced by Janina Geiler. 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 Janina Geiler. The network helps show where Janina Geiler may publish in the future.
Co-authorship network of co-authors of Janina Geiler
This figure shows the co-authorship network connecting the top 25 collaborators of Janina Geiler. A scholar is included among the top collaborators of Janina Geiler 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 Janina Geiler. Janina Geiler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 58 | |
| 3 | 41 | |
| 4 | Multiplexing immunoassays for cytokine detection in the serum of patients with rheumatoid arthritis: lack of sensitivity and interference by rheumatoid factor. | 32 |
| 5 | 130 | |
| 6 | 59 | |
| 7 | 46 | |
| 8 | 74 | |
| 9 | 54 | |
| 10 | Gevokizumab, an anti-IL-1β mAb for the potential treatment of type 1 and 2 diabetes, rheumatoid arthritis and cardiovascular disease. | 32 |
| 11 | 95 | |
| 12 | 166 | |
| 13 | 23 | |
| 14 | 36 | |
| 15 | 3 | |
| 16 | 18 |
About Janina Geiler
Janina Geiler is a scholar working on Immunology, Rheumatology and Pharmacology, having authored 16 papers that have together received 923 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Immune Cell Function and Interaction (4 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Pharmacology (144 citations), Immunology (339 citations) and Epidemiology (250 citations). Janina Geiler has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Jindřich Činátl, Martin Michaelis, Michael McDermott, Hans Wilhelm Doerr, Patchima Sithisarn, Maya H Buch, Klaus Langer, Paul Emery, Henry Ogbomo and Regina Allwinn. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Annals of the Rheumatic Diseases.
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.