Daniel Neiman
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
Papers in
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- Cancer Genomics and Diagnostics 5
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- SARS-CoV-2 detection and testing 3
- Co-authors
- Ruth Shemer (13 shared papers)Yuval Dor (13 shared papers)Benjamin Gläser (11 shared papers)Joshua Moss (6 shared papers)Judith Magenheim (6 shared papers)Hai Zemmour (3 shared papers)Giora Landesberg (2 shared papers)Sheina Piyanzin (7 shared papers)
- Journals
- JCI Insight (3 papers)Nature Communications (2 papers)Med (2 papers)Proceedings of the National Academy of Sciences (2 papers)Science Translational Medicine (1 paper)
- Partner nations
- IsraelUnited StatesSweden
In The Last Decade
Daniel Neiman
25 papers receiving 2.2k citations
Daniel Neiman's Hit Papers
Peers
Comparison fields: 5 of 68
- Cancer Research 558
- Infectious Diseases 195
- Molecular Biology 312
- Surgery 133
- Genetics 81
Countries citing papers authored by Daniel Neiman
This map shows the geographic impact of Daniel Neiman'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 Neiman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Neiman more than expected).
Fields of papers citing papers by Daniel Neiman
This network shows the impact of papers produced by Daniel Neiman. 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 Neiman. The network helps show where Daniel Neiman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Neiman, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease Hit paper breakdown → | 2018 | 757 |
| 2 | 2016 | 514 | |
| 3 | 2018 | 168 | |
| 4 | 2020 | 156 | |
| 5 | 2021 | 123 | |
| 6 | 2018 | 110 | |
| 7 | 2021 | 77 | |
| 8 | 2017 | 43 | |
| 9 | 2020 | 40 | |
| 10 | 2018 | 38 | |
| 11 | 2022 | 38 | |
| 12 | 2023 | 29 | |
| 13 | 2022 | 22 | |
| 14 | 2020 | 19 | |
| 15 | 2022 | 18 | |
| 16 | 2023 | 14 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 5 |
About Daniel Neiman
Daniel Neiman is a scholar working on Cancer Research, Infectious Diseases, Hematology, Genetics and Emergency Medicine, having authored 25 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), SARS-CoV-2 detection and testing (3 papers), Pancreatic function and diabetes (3 papers), Epigenetics and DNA Methylation (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Diabetes and associated disorders (2 papers), Schizophrenia research and treatment (1 paper) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Cancer Research (558 citations), Infectious Diseases (195 citations), Molecular Biology (312 citations), Surgery (133 citations) and Genetics (81 citations). Daniel Neiman has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include Ruth Shemer, Yuval Dor, Benjamin Gläser, Joshua Moss, Judith Magenheim, Hai Zemmour, Giora Landesberg, Sheina Piyanzin, Dan Gilon and David Planer. Their work appears in journals such as JCI Insight, Nature Communications, Med, Proceedings of the National Academy of Sciences and Science Translational Medicine.
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.