Tim Durfee
Impact in
- Endocrinology top 2%
- Genetics top 5%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 5
- Microbial Metabolic Engineering and Bioproduction 3
- DNA Repair Mechanisms 2
- Ubiquitin and proteasome pathways 2
- Fungal and yeast genetics research 2
- Plant Reproductive Biology 2
- Genetics 10
- Bacterial Genetics and Biotechnology 8
- Co-authors
- Frederick R. Blattner (8 shared papers)Ding Jun Jin (3 shared papers)Anne‐Marie Hansen (2 shared papers)Patricia Zambryski (5 shared papers)Huijun Zhi (1 shared paper)Wilhelm Gruissem (2 shared papers)Yu Qiu (3 shared papers)Robert A. Ach (1 shared paper)
- Journals
- Journal of Bacteriology (4 papers)Molecular and Cellular Biology (2 papers)Molecular Microbiology (2 papers)Journal of Biological Chemistry (2 papers)Bioinformatics (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Tim Durfee
22 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Endocrinology 170
- Genetics 590
- Molecular Biology 1.3k
- Molecular Medicine 79
- Plant Science 429
Countries citing papers authored by Tim Durfee
This map shows the geographic impact of Tim Durfee'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 Tim Durfee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Durfee more than expected).
Fields of papers citing papers by Tim Durfee
This network shows the impact of papers produced by Tim Durfee. 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 Tim Durfee. The network helps show where Tim Durfee may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Durfee, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 302 | |
| 2 | 2008 | 292 | |
| 3 | 1997 | 213 | |
| 4 | 2004 | 173 | |
| 5 | 2005 | 167 | |
| 6 | 2005 | 86 | |
| 7 | 2009 | 86 | |
| 8 | 1997 | 80 | |
| 9 | 1992 | 70 | |
| 10 | 2003 | 68 | |
| 11 | 2000 | 55 | |
| 12 | 2004 | 52 | |
| 13 | 1997 | 50 | |
| 14 | 1999 | 17 | |
| 15 | 1996 | 13 | |
| 16 | 2007 | 9 | |
| 17 | 2016 | 9 | |
| 18 | 2004 | 8 | |
| 19 | 2021 | 4 | |
| 20 | 2015 | 1 |
About Tim Durfee
Tim Durfee is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Cell Biology, having authored 23 papers that have together received 1.8k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), DNA Repair Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Fungal and yeast genetics research (2 papers), Plant Reproductive Biology (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Endocrinology (170 citations), Genetics (590 citations), Molecular Biology (1.3k citations), Molecular Medicine (79 citations) and Plant Science (429 citations). Tim Durfee has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Frederick R. Blattner, Ding Jun Jin, Anne‐Marie Hansen, Patricia Zambryski, Huijun Zhi, Wilhelm Gruissem, Yu Qiu, Robert A. Ach, Judith L. Roe and Linda Hanley‐Bowdoin. Their work appears in journals such as Journal of Bacteriology, Molecular and Cellular Biology, Molecular Microbiology, Journal of Biological Chemistry and Bioinformatics.
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.