David J. Siegel
- Molecular Biology
- Plant Science top 5%
- Spectroscopy top 5%
- Food Science top 5%
- Organic Chemistry top 10%
- Co-authors
- Matthias KochIrene NehlsRobert KöppenDavid RossStefan MerkelHjalmar P. PermentierRainer BischoffRonald Maul
- Topics
- Mycotoxins in Agriculture and Food (10 papers)Analytical Chemistry and Chromatography (6 papers)Bioactive Compounds and Antitumor Agents (5 papers)
- Cited by
- ToxicologyBiochemistrySpectroscopy
- Journals
- SHILAP Revista de lepidopterologíaACS NanoAnalytical Chemistry
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
David J. Siegel
55 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 672
- Plant Science 488
- Spectroscopy 259
- Food Science 234
- Organic Chemistry 165
Countries citing papers authored by David J. Siegel
This map shows the geographic impact of David J. Siegel'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 David J. Siegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Siegel more than expected).
Fields of papers citing papers by David J. Siegel
This network shows the impact of papers produced by David J. Siegel. 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 David J. Siegel. The network helps show where David J. Siegel may publish in the future.
Co-authorship network of co-authors of David J. Siegel
This figure shows the co-authorship network connecting the top 25 collaborators of David J. Siegel. A scholar is included among the top collaborators of David J. Siegel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Siegel. David J. Siegel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 0 | |
| 3 | 36 | |
| 4 | 12 | |
| 5 | 134 | |
| 6 | 3 | |
| 7 | 22 | |
| 8 | Beyond the Academic-Corporate Divide. | 1 |
| 9 | 38 | |
| 10 | Why Universities Join Cross-Sector Social Partnerships: Theory and Evidence. | 13 |
| 11 | 187 | |
| 12 | 24 | |
| 13 | 12 | |
| 14 | 3 | |
| 15 | Constructive Engagement with the Corporation. | 1 |
| 16 | 181 | |
| 17 | 6 | |
| 18 | 28 | |
| 19 | 5 | |
| 20 | 3 |
About David J. Siegel
David J. Siegel is a scholar working on Toxicology, Human Factors and Ergonomics and Management of Technology and Innovation, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (10 papers), Analytical Chemistry and Chromatography (6 papers) and Bioactive Compounds and Antitumor Agents (5 papers). The work is most often cited by research in Toxicology (139 citations), Biochemistry (118 citations) and Spectroscopy (259 citations). David J. Siegel has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Matthias Koch, Irene Nehls, Robert Köppen, David Ross, Stefan Merkel, Hjalmar P. Permentier, Rainer Bischoff, Ronald Maul, Jadwiga K. Kepa and Shannon L. Winski. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Analytical 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.