Samson Koelle
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Single-cell and spatial transcriptomics 5
- CRISPR and Genetic Engineering 2
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- Hematopoietic Stem Cell Transplantation 6
- Acute Myeloid Leukemia Research 1
- Co-authors
- Cynthia E. Dunbar (10 shared papers)Chuanfeng Wu (10 shared papers)Robert E. Donahue (7 shared papers)Rong Lu (5 shared papers)Brian Li (4 shared papers)Diego A. Espinoza (7 shared papers)Mark E. Metzger (4 shared papers)Karin Loré (1 shared paper)
- Journals
- Blood (2 papers)Molecular Therapy — Methods & Clinical Development (2 papers)Cell stem cell (1 paper)Nature Computational Science (1 paper)Science Immunology (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Samson Koelle
11 papers receiving 290 citations
Peers
Comparison fields: 5 of 42
- Hematology 97
- Immunology 145
- Genetics 28
- Cancer Research 31
- Genetics 59
Countries citing papers authored by Samson Koelle
This map shows the geographic impact of Samson Koelle'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 Samson Koelle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samson Koelle more than expected).
Fields of papers citing papers by Samson Koelle
This network shows the impact of papers produced by Samson Koelle. 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 Samson Koelle. The network helps show where Samson Koelle may publish in the future.
Co-authors
The 25 scholars most cited alongside Samson Koelle, 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 | 2014 | 130 | |
| 2 | 2017 | 38 | |
| 3 | 2018 | 37 | |
| 4 | 2018 | 31 | |
| 5 | 2017 | 26 | |
| 6 | 2021 | 15 | |
| 7 | 2018 | 8 | |
| 8 | 2019 | 7 | |
| 9 | 2023 | 2 | |
| 10 | Statistical inference in partially observed stochastic compartmental models with application to cell lineage tracking of in vivo hematopoiesis | 2016 | 1 |
| 11 | 2021 | 1 |
About Samson Koelle
Samson Koelle is a scholar working on Molecular Biology, Hematology, Immunology, Genetics and Genetics, having authored 11 papers that have together received 296 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), T-cell and B-cell Immunology (5 papers), Single-cell and spatial transcriptomics (5 papers), Virus-based gene therapy research (3 papers), Immune Cell Function and Interaction (2 papers), CRISPR and Genetic Engineering (2 papers), Acute Myeloid Leukemia Research (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Hematology (97 citations), Immunology (145 citations), Genetics (28 citations), Cancer Research (31 citations) and Genetics (59 citations). Samson Koelle has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Cynthia E. Dunbar, Chuanfeng Wu, Robert E. Donahue, Rong Lu, Brian Li, Diego A. Espinoza, Mark E. Metzger, Karin Loré, Irvin S. Y. Chen and Yanqin Yang. Their work appears in journals such as Blood, Molecular Therapy — Methods & Clinical Development, Cell stem cell, Nature Computational Science and Science Immunology.
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.