Daniel G. Schultz
Impact in
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Evolution and Genetic Dynamics
Papers in
- Genetics 20
- Evolution and Genetic Dynamics 13
- Bacterial Genetics and Biotechnology 12
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- Gene Regulatory Network Analysis 14
- Bacterial biofilms and quorum sensing 7
- Gut microbiota and health 3
- Microbial Metabolic Engineering and Bioproduction 3
- Co-authors
- José N. Onuchic (9 shared papers)Peter Guy Wolynes (5 shared papers)Eshel Ben Jacob (3 shared papers)Aleksandra M. Walczak (2 shared papers)Roy Kishony (3 shared papers)Eshel Ben‐Jacob (4 shared papers)Guilherme C. P. Innocentini (1 shared paper)José Eduardo Martinho Hornos (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (6 papers)eLife (2 papers)Biophysical Journal (2 papers)Current Biology (2 papers)mBio (2 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Daniel G. Schultz
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 129
- Obstetrics and Gynecology 124
- Genetics 394
- Molecular Medicine 63
- Molecular Biology 846
- Endocrinology 52
Countries citing papers authored by Daniel G. Schultz
This map shows the geographic impact of Daniel G. Schultz'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 G. Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Schultz more than expected).
Fields of papers citing papers by Daniel G. Schultz
This network shows the impact of papers produced by Daniel G. Schultz. 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 G. Schultz. The network helps show where Daniel G. Schultz may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel G. Schultz, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 196 | |
| 2 | 2009 | 158 | |
| 3 | 1994 | 114 | |
| 4 | 2020 | 103 | |
| 5 | 2007 | 76 | |
| 6 | 2018 | 72 | |
| 7 | 2007 | 48 | |
| 8 | 2018 | 39 | |
| 9 | 2022 | 38 | |
| 10 | 2021 | 35 | |
| 11 | 2013 | 34 | |
| 12 | 2023 | 32 | |
| 13 | 2008 | 31 | |
| 14 | 2021 | 26 | |
| 15 | 2014 | 24 | |
| 16 | 2010 | 24 | |
| 17 | 2013 | 23 | |
| 18 | 2023 | 22 | |
| 19 | 2022 | 22 | |
| 20 | 2020 | 17 |
About Daniel G. Schultz
Daniel G. Schultz is a scholar working on Genetics, Molecular Biology, Obstetrics and Gynecology, Molecular Medicine and Endocrinology, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (14 papers), Evolution and Genetic Dynamics (13 papers), Bacterial Genetics and Biotechnology (12 papers), Bacterial biofilms and quorum sensing (7 papers), Endometrial and Cervical Cancer Treatments (4 papers), Antibiotic Resistance in Bacteria (4 papers), Gut microbiota and health (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Obstetrics and Gynecology (124 citations), Genetics (394 citations), Molecular Medicine (63 citations), Molecular Biology (846 citations) and Endocrinology (52 citations). Daniel G. Schultz has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include José N. Onuchic, Peter Guy Wolynes, Eshel Ben Jacob, Aleksandra M. Walczak, Roy Kishony, Eshel Ben‐Jacob, Guilherme C. P. Innocentini, José Eduardo Martinho Hornos, Carey D. Nadell and Caitlin H. Kowalski. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, Biophysical Journal, Current Biology and mBio.
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.