Ryan Splittgerber
Impact in
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- scientometrics and bibliometrics research
- Meta-analysis and systematic reviews
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- NF-κB Signaling Pathways
Papers in
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- Melanoma and MAPK Pathways 4
- S100 Proteins and Annexins 1
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- NF-κB Signaling Pathways 4
- Co-authors
- Ann Richmond (5 shared papers)Sara Kantrow (3 shared papers)Jinming Yang (3 shared papers)Gregory D. Ayers (1 shared paper)Yee Mon Thu (3 shared papers)Fiona E. Yull (1 shared paper)Michael Karin (1 shared paper)Abigail M. Polter (1 shared paper)
- Journals
- Clinical Cancer Research (1 paper)Toxicology and Applied Pharmacology (1 paper)Journal of Clinical Investigation (1 paper)EMBO Molecular Medicine (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Ryan Splittgerber
8 papers receiving 424 citations
Peers
Comparison fields: 5 of 109
- Statistics, Probability and Uncertainty 74
- Cancer Research 70
- Information Systems and Management 33
- History and Philosophy of Science 21
- Oncology 101
Countries citing papers authored by Ryan Splittgerber
This map shows the geographic impact of Ryan Splittgerber'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 Ryan Splittgerber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Splittgerber more than expected).
Fields of papers citing papers by Ryan Splittgerber
This network shows the impact of papers produced by Ryan Splittgerber. 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 Ryan Splittgerber. The network helps show where Ryan Splittgerber may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Splittgerber, 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 | 2007 | 172 | |
| 2 | 2012 | 81 | |
| 3 | 2010 | 77 | |
| 4 | 2012 | 47 | |
| 5 | 2011 | 41 | |
| 6 | 2011 | 28 | |
| 7 | Snell's Clinical Neuroanatomy | 2018 | 2 |
| 8 | 2011 | 1 |
About Ryan Splittgerber
Ryan Splittgerber is a scholar working on Molecular Biology, Cancer Research, Oncology, Communication and Health, having authored 8 papers that have together received 449 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Melanoma and MAPK Pathways (4 papers), Cell Adhesion Molecules Research (1 paper), interferon and immune responses (1 paper), Alzheimer's disease research and treatments (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), S100 Proteins and Annexins (1 paper) and scientometrics and bibliometrics research (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (74 citations), Cancer Research (70 citations), Information Systems and Management (33 citations), History and Philosophy of Science (21 citations) and Oncology (101 citations). Ryan Splittgerber has collaborated with scholars based in United States and Canada. Frequent co-authors include Ann Richmond, Sara Kantrow, Jinming Yang, Gregory D. Ayers, Yee Mon Thu, Fiona E. Yull, Michael Karin, Abigail M. Polter, Jason Stephenson and David L. Mayhew. Their work appears in journals such as Clinical Cancer Research, Toxicology and Applied Pharmacology, Journal of Clinical Investigation, EMBO Molecular Medicine and Cancer Research.
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.