Jacob C. Ulirsch
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Genetics top 5%
- Genetic Associations and Epidemiology
- Hemoglobinopathies and Related Disorders
Papers in
-
- RNA modifications and cancer 10
- Single-cell and spatial transcriptomics 4
- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 4
- Physiology 11
- Erythrocyte Function and Pathophysiology 11
- Co-authors
- Vijay G. Sankaran (22 shared papers)Satish K. Nandakumar (4 shared papers)Leif S. Ludwig (10 shared papers)Hilary K. Finucane (9 shared papers)Caleb A. Lareau (6 shared papers)Jason D. Buenrostro (3 shared papers)Martin J. Aryee (3 shared papers)Aviv Regev (3 shared papers)
- Journals
- Nature Genetics (6 papers)Journal of Pain (4 papers)Pain (3 papers)Cell (3 papers)Blood (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Jacob C. Ulirsch
43 papers receiving 2.5k citations
Jacob C. Ulirsch's Hit Papers
Peers
Comparison fields: 5 of 125
- Cancer Research 440
- Genetics 266
- Hematology 233
- Molecular Biology 1.4k
- Genetics 542
Countries citing papers authored by Jacob C. Ulirsch
This map shows the geographic impact of Jacob C. Ulirsch'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 Jacob C. Ulirsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob C. Ulirsch more than expected).
Fields of papers citing papers by Jacob C. Ulirsch
This network shows the impact of papers produced by Jacob C. Ulirsch. 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 Jacob C. Ulirsch. The network helps show where Jacob C. Ulirsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob C. Ulirsch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lineage Tracing in Humans Enabled by Mitochondrial Mutations and Single-Cell Genomics Hit paper breakdown → | 2019 | 339 |
| 2 | 2018 | 285 | |
| 3 | 2016 | 206 | |
| 4 | 2020 | 156 | |
| 5 | 2021 | 122 | |
| 6 | 2015 | 117 | |
| 7 | 2016 | 107 | |
| 8 | 2019 | 105 | |
| 9 | 2021 | 102 | |
| 10 | 2019 | 96 | |
| 11 | 2013 | 73 | |
| 12 | 2015 | 62 | |
| 13 | 2013 | 58 | |
| 14 | 2013 | 55 | |
| 15 | 2020 | 51 | |
| 16 | 2014 | 51 | |
| 17 | 2012 | 49 | |
| 18 | 2019 | 48 | |
| 19 | 2021 | 45 | |
| 20 | 2018 | 39 |
About Jacob C. Ulirsch
Jacob C. Ulirsch is a scholar working on Molecular Biology, Physiology, Genetics, Genetics and Hematology, having authored 43 papers that have together received 2.5k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (11 papers), RNA modifications and cancer (10 papers), Hemoglobinopathies and Related Disorders (9 papers), Genetic Associations and Epidemiology (5 papers), Blood groups and transfusion (4 papers), Single-cell and spatial transcriptomics (4 papers), RNA Research and Splicing (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (440 citations), Genetics (266 citations), Hematology (233 citations), Molecular Biology (1.4k citations) and Genetics (542 citations). Jacob C. Ulirsch has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Vijay G. Sankaran, Satish K. Nandakumar, Leif S. Ludwig, Hilary K. Finucane, Caleb A. Lareau, Jason D. Buenrostro, Martin J. Aryee, Aviv Regev, Tarjei S. Mikkelsen and J Engreitz. Their work appears in journals such as Nature Genetics, Journal of Pain, Pain, Cell and Blood.
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.