Daniel Frank
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
Papers in ⓘ
-
- Toxin Mechanisms and Immunotoxins 2
- Immune Response and Inflammation 2
- Co-authors
- James E. Vince (5 shared papers)James M. Murphy (3 shared papers)Lisa Lindqvist (2 shared papers)David L. Vaux (2 shared papers)Christopher Coenen (2 shared papers)Harald König (2 shared papers)Rebecca Feltham (2 shared papers)Kate E. Lawlor (2 shared papers)
- Journals
- Cell Death and Differentiation (3 papers)Genes & Development (1 paper)The Journal of Immunology (1 paper)Immunology and Cell Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- AustraliaGermanyUnited States
In The Last Decade
Daniel Frank
14 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Immunology 428
- Nephrology 131
- Molecular Biology 1.0k
- Cancer Research 144
- Biological Psychiatry 17
Countries citing papers authored by Daniel Frank
This map shows the geographic impact of Daniel Frank'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 Daniel Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Frank more than expected).
Fields of papers citing papers by Daniel Frank
This network shows the impact of papers produced by Daniel Frank. 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 Daniel Frank. The network helps show where Daniel Frank may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Frank, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Pyroptosis versus necroptosis: similarities, differences, and crosstalk Hit paper breakdown → | 2018 | 812 |
| 2 | 2019 | 97 | |
| 3 | 2019 | 82 | |
| 4 | 2021 | 60 | |
| 5 | 2017 | 58 | |
| 6 | 2013 | 57 | |
| 7 | 2019 | 54 | |
| 8 | 2017 | 39 | |
| 9 | 2013 | 38 | |
| 10 | 2015 | 26 | |
| 11 | 2017 | 19 | |
| 12 | 2012 | 17 | |
| 13 | 2014 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2023 | 0 |
About Daniel Frank
Daniel Frank is a scholar working on Immunology, Physiology, Molecular Biology, Nephrology and Reproductive Medicine, having authored 15 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), Inflammasome and immune disorders (4 papers), Toxin Mechanisms and Immunotoxins (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), CRISPR and Genetic Engineering (2 papers), Immune Response and Inflammation (2 papers), RNA Interference and Gene Delivery (2 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Immunology (428 citations), Nephrology (131 citations), Molecular Biology (1.0k citations), Cancer Research (144 citations) and Biological Psychiatry (17 citations). Daniel Frank has collaborated with scholars based in Australia, Germany and United States. Frequent co-authors include James E. Vince, James M. Murphy, Lisa Lindqvist, David L. Vaux, Christopher Coenen, Harald König, Rebecca Feltham, Kate E. Lawlor, Reinhard Heil and Maryam Rashidi. Their work appears in journals such as Cell Death and Differentiation, Genes & Development, The Journal of Immunology, Immunology and Cell Biology 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.