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
-
- Cancer Mechanisms and Therapy 3
-
- Chromatin Remodeling and Cancer 5
- Genomics and Chromatin Dynamics 3
- Glutathione Transferases and Polymorphisms 1
- DNA Repair Mechanisms 1
- Co-authors
- Terry Magnuson (3 shared papers)Ronald L. Chandler (2 shared papers)Jonathan Cummings Schisler (2 shared papers)Joshua Starmer (1 shared paper)Fernando Pardo‐Manuel de Villena (1 shared paper)John P. Didion (1 shared paper)Della Yee (1 shared paper)David B. Darr (1 shared paper)
- Journals
- Molecular Cancer Research (1 paper)Nature Communications (1 paper)Biology of Reproduction (1 paper)Molecular and Cellular Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Daniel Serber
6 papers receiving 437 citations
Peers
Comparison fields: 5 of 43
- Reproductive Medicine 140
- Pathology and Forensic Medicine 161
- Obstetrics and Gynecology 39
- Molecular Biology 307
- Cancer Research 46
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 | 256 | |
| 2 | 2012 | 95 | |
| 3 | 2015 | 31 | |
| 4 | 2014 | 25 | |
| 5 | 2012 | 21 | |
| 6 | 2008 | 14 | |
| 7 | 2020 | 0 |
About Daniel Serber
Daniel Serber is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Developmental Neuroscience, Orthopedics and Sports Medicine and Reproductive Medicine, having authored 7 papers that have together received 442 indexed citations. Recurring topics across this work include Chromatin Remodeling and Cancer (5 papers), Cancer Mechanisms and Therapy (3 papers), Genomics and Chromatin Dynamics (3 papers), Glutathione Transferases and Polymorphisms (1 paper), Bone health and osteoporosis research (1 paper), Ovarian cancer diagnosis and treatment (1 paper), DNA Repair Mechanisms (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Reproductive Medicine (140 citations), Pathology and Forensic Medicine (161 citations), Obstetrics and Gynecology (39 citations), Molecular Biology (307 citations) and Cancer Research (46 citations). Daniel Serber has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Terry Magnuson, Ronald L. Chandler, Jonathan Cummings Schisler, Joshua Starmer, Fernando Pardo‐Manuel de Villena, John P. Didion, Della Yee, David B. Darr, Jesse R. Raab and Matthew D. Wilkerson. Their work appears in journals such as Molecular Cancer Research, Nature Communications, Biology of Reproduction, Molecular and Cellular Biology 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.