Daniel Serber
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Endometriosis Research and Treatment
- Pathology and Forensic Medicine top 10%
- Cancer Mechanisms and Therapy
Papers in
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- Chromatin Remodeling and Cancer 5
- Genomics and Chromatin Dynamics 4
- Glutathione Transferases and Polymorphisms 1
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- Cancer Mechanisms and Therapy 4
- Co-authors
- Terry Magnuson (3 shared papers)Jonathan C. Schisler (2 shared papers)Ronald L. Chandler (2 shared papers)Jesse R. Raab (1 shared paper)Joshua Starmer (1 shared paper)Jessie Xiong (1 shared paper)Matthew D. Wilkerson (1 shared paper)David B. Darr (1 shared paper)
- Journals
- Molecular Cancer Research (1 paper)Molecular and Cellular Biology (1 paper)Biology of Reproduction (1 paper)Bone (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Daniel Serber
6 papers receiving 397 citations
Peers
Comparison fields: 5 of 46
- Reproductive Medicine 143
- Pathology and Forensic Medicine 162
- Obstetrics and Gynecology 41
- Molecular Biology 293
- Cancer Research 47
Countries citing papers authored by Daniel Serber
This map shows the geographic impact of Daniel Serber'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 Serber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Serber more than expected).
Fields of papers citing papers by Daniel Serber
This network shows the impact of papers produced by Daniel Serber. 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 Serber. The network helps show where Daniel Serber may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Serber, 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 | 2015 | 230 | |
| 2 | 2012 | 85 | |
| 3 | 2015 | 31 | |
| 4 | 2014 | 20 | |
| 5 | 2012 | 20 | |
| 6 | 2008 | 14 | |
| 7 | 2020 | 0 |
About Daniel Serber
Daniel Serber is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Genetics and Developmental Neuroscience, having authored 7 papers that have together received 400 indexed citations. Recurring topics across this work include Chromatin Remodeling and Cancer (5 papers), Cancer Mechanisms and Therapy (4 papers), Genomics and Chromatin Dynamics (4 papers), Williams Syndrome Research (1 paper), Bone health and osteoporosis research (1 paper), Estrogen and related hormone effects (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Reproductive Medicine (143 citations), Pathology and Forensic Medicine (162 citations), Obstetrics and Gynecology (41 citations), Molecular Biology (293 citations) and Cancer Research (47 citations). Daniel Serber has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Terry Magnuson, Jonathan C. Schisler, Ronald L. Chandler, Jesse R. Raab, Joshua Starmer, Jessie Xiong, Matthew D. Wilkerson, David B. Darr, John P. Didion and Fernando Pardo‐Manuel de Villena. Their work appears in journals such as Molecular Cancer Research, Molecular and Cellular Biology, Biology of Reproduction, Bone and PLoS ONE.
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.