David Trollinger
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Biology top 5%
- Ion channel regulation and function
Papers in
-
- Melanoma and MAPK Pathways 3
- Molecular Biology Techniques and Applications 2
- RNA Research and Splicing 2
- Oncology 3
- Co-authors
- N. T. Keen (1 shared paper)Stanley Tamaki (1 shared paper)Daisuke Kobayashi (1 shared paper)Koné Kaniga (2 shared papers)Marynette Rihanek (2 shared papers)Carl L. Manthey (2 shared papers)J E Galán (1 shared paper)Jorge E. Galán (1 shared paper)
- Journals
- Journal of Bacteriology (2 papers)Journal of Biological Chemistry (2 papers)Bone (1 paper)Gene (1 paper)Clinical Chemistry (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
David Trollinger
15 papers receiving 3.5k citations
David Trollinger's Hit Papers
Peers
Comparison fields: 5 of 124
- Endocrinology 494
- Molecular Biology 1.9k
- Molecular Medicine 115
- Genetics 516
- Food Science 344
Countries citing papers authored by David Trollinger
This map shows the geographic impact of David Trollinger'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 Trollinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Trollinger more than expected).
Fields of papers citing papers by David Trollinger
This network shows the impact of papers produced by David Trollinger. 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 Trollinger. The network helps show where David Trollinger may publish in the future.
Co-authors
The 25 scholars most cited alongside David Trollinger, 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 | Improved broad-host-range plasmids for DNA cloning in Gram-negative bacteria Hit paper breakdown → | 1988 | 1396 |
| 2 | 1993 | 333 | |
| 3 | 2002 | 268 | |
| 4 | 1995 | 258 | |
| 5 | Differential expression and activation of p38 mitogen-activated protein kinase alpha, beta, gamma, and delta in inflammatory cell lineages. | 1999 | 251 |
| 6 | 1999 | 229 | |
| 7 | 1994 | 206 | |
| 8 | 1995 | 204 | |
| 9 | 1996 | 136 | |
| 10 | 1994 | 135 | |
| 11 | 2010 | 57 | |
| 12 | 2006 | 37 | |
| 13 | 1989 | 18 | |
| 14 | 1985 | 6 | |
| 15 | 1987 | 1 |
About David Trollinger
David Trollinger is a scholar working on Molecular Biology, Oncology, Plant Science, Cellular and Molecular Neuroscience and Molecular Medicine, having authored 15 papers that have together received 3.5k indexed citations. Recurring topics across this work include Plant Pathogenic Bacteria Studies (3 papers), Melanoma and MAPK Pathways (3 papers), Vibrio bacteria research studies (2 papers), Molecular Biology Techniques and Applications (2 papers), RNA Research and Splicing (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Endocrinology (494 citations), Molecular Biology (1.9k citations), Molecular Medicine (115 citations), Genetics (516 citations) and Food Science (344 citations). David Trollinger has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include N. T. Keen, Stanley Tamaki, Daisuke Kobayashi, Koné Kaniga, Marynette Rihanek, Carl L. Manthey, J E Galán, Jorge E. Galán, Stephanie C. Tucker and Nathan Dascal. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, Bone, Gene and Clinical 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.