Daniel Sherman
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
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- Fungal and yeast genetics research 4
- DNA Repair Mechanisms 3
- Angiogenesis and VEGF in Cancer 2
- ATP Synthase and ATPases Research 2
- Biochemical and Molecular Research 2
- RNA and protein synthesis mechanisms 2
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- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Hans‐Peter Gerber (3 shared papers)Napoleone Ferrara (2 shared papers)Susan L. Forsburg (3 shared papers)Xiao Liang (2 shared papers)Kyu Hong (1 shared paper)Gloria Meng (1 shared paper)Gregg P. Solar (1 shared paper)Ajay K. Malik (1 shared paper)
- Journals
- Gene (2 papers)Nature (2 papers)Journal of Clinical Oncology (1 paper)Molecular Biology of the Cell (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Daniel Sherman
13 papers receiving 1.6k citations
Daniel Sherman's Hit Papers
Peers
Comparison fields: 5 of 88
- Developmental Neuroscience 139
- Cancer Research 305
- Molecular Biology 1.0k
- Hematology 149
- Cellular and Molecular Neuroscience 233
Countries citing papers authored by Daniel Sherman
This map shows the geographic impact of Daniel Sherman'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 Sherman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sherman more than expected).
Fields of papers citing papers by Daniel Sherman
This network shows the impact of papers produced by Daniel Sherman. 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 Sherman. The network helps show where Daniel Sherman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sherman, 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 | VEGF regulates haematopoietic stem cell survival by an internal autocrine loop mechanism Hit paper breakdown → | 2002 | 570 |
| 2 | 1997 | 331 | |
| 3 | 2002 | 208 | |
| 4 | Complete inhibition of rhabdomyosarcoma xenograft growth and neovascularization requires blockade of both tumor and host vascular endothelial growth factor. | 2000 | 199 |
| 5 | 1997 | 158 | |
| 6 | 1998 | 48 | |
| 7 | 1998 | 40 | |
| 8 | 1997 | 33 | |
| 9 | 2012 | 30 | |
| 10 | 1992 | 18 | |
| 11 | 1997 | 1 | |
| 12 | 2011 | 1 | |
| 13 | 2011 | 1 |
About Daniel Sherman
Daniel Sherman is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Cellular and Molecular Neuroscience and Oncology, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), DNA Repair Mechanisms (3 papers), Angiogenesis and VEGF in Cancer (2 papers), ATP Synthase and ATPases Research (2 papers), Biochemical and Molecular Research (2 papers), Bacterial Genetics and Biotechnology (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (139 citations), Cancer Research (305 citations), Molecular Biology (1.0k citations), Hematology (149 citations) and Cellular and Molecular Neuroscience (233 citations). Daniel Sherman has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Hans‐Peter Gerber, Napoleone Ferrara, Susan L. Forsburg, Xiao Liang, Kyu Hong, Gloria Meng, Gregg P. Solar, Ajay K. Malik, James C. Marsters and Joe Kowalski. Their work appears in journals such as Gene, Nature, Journal of Clinical Oncology, Molecular Biology of the Cell and Journal of Biological Chemistry.
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.