Daniel Schultz

2.0k citations
47 papers · 1.2k · h-index 17

Impact in

Papers in

    • Gene Regulatory Network Analysis 13
    • Bacterial biofilms and quorum sensing 6
    • Gut microbiota and health 3
    • Evolution and Genetic Dynamics 12
    • Bacterial Genetics and Biotechnology 10

Daniel Schultz

44 papers receiving 1.2k citations

Peers

Daniel Schultz
Comparison fields: 5 of 118
  • Obstetrics and Gynecology 107
  • Genetics 350
  • Molecular Biology 743
  • Molecular Medicine 47
  • Endocrinology 43
Replace Seesandra V. Rajagopala with:
Seesandra V. Rajagopala United States
Chunguang Liang Germany
Eula Fung United States
Mirosław Zarębski Poland
Jeffrey S. Lin United States
Joel Sevinsky United States
Zene Matsuda Japan
Miao Gui China
Gerhard Schäller Germany
Christian V. Forst United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Schultz

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 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 Schultz more than expected).

Fields of papers citing papers by Daniel Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel 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 Schultz. The network helps show where Daniel Schultz may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Schultz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Schultz Line = papers co-authored together Daniel Schultz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005194
2 2009146
3 1994104
4 202093
5 200773
6 201870
7 200747
8 201836
9 202235
10 202331
11 200829
12 202126
13 201425
14 201322
15 202220
16 202319
17 202017
18 202014
19 202213
20 200013

About Daniel Schultz

Daniel Schultz is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Epidemiology and Obstetrics and Gynecology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (13 papers), Evolution and Genetic Dynamics (12 papers), Bacterial Genetics and Biotechnology (10 papers), Bacterial biofilms and quorum sensing (6 papers), Antibiotic Resistance in Bacteria (4 papers), Endometrial and Cervical Cancer Treatments (4 papers), Gut microbiota and health (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). The work is most often cited by research in Obstetrics and Gynecology (107 citations), Genetics (350 citations), Molecular Biology (743 citations), Molecular Medicine (47 citations) and Endocrinology (43 citations). Daniel Schultz has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include José N. Onuchic, Peter G. Wolynes, Eshel Ben Jacob, Aleksandra M. Walczak, Guilherme C. P. Innocentini, José Eduardo Martinho Hornos, Carey D. Nadell, Robert A. Cramer, Kaesi A. Morelli and Caitlin H. Kowalski. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports, Biophysical Journal, Current Biology and eLife.

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.

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