John W. Pitkin
Impact in
- Plant Science top 10%
- Plant-Microbe Interactions and Immunity
- Plant Disease Resistance and Genetics
- Cell Biology top 10%
- Plant Pathogens and Fungal Diseases
Papers in
-
- Polyamine Metabolism and Applications 4
- Fungal and yeast genetics research 2
-
- Mycotoxins in Agriculture and Food 3
- Plant-Microbe Interactions and Immunity 3
- Polysaccharides and Plant Cell Walls 2
- Co-authors
- Jonathan D. Walton (5 shared papers)Daniel G. Panaccione (2 shared papers)Rowland H. Davis (4 shared papers)Felice Cervone (1 shared paper)John S. Scott‐Craig (1 shared paper)Giulia De Lorenzo (1 shared paper)Yi‐Qiang Cheng (1 shared paper)Janet L. Ristow (2 shared papers)
- Journals
- Archives of Biochemistry and Biophysics (2 papers)Molecular Plant-Microbe Interactions (2 papers)Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)Applied Microbiology and Biotechnology (1 paper)Gene (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
John W. Pitkin
12 papers receiving 516 citations
Peers
Comparison fields: 5 of 44
- Plant Science 304
- Cell Biology 121
- Biochemistry 51
- Insect Science 60
- Molecular Biology 297
Countries citing papers authored by John W. Pitkin
This map shows the geographic impact of John W. Pitkin'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 John W. Pitkin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Pitkin more than expected).
Fields of papers citing papers by John W. Pitkin
This network shows the impact of papers produced by John W. Pitkin. 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 John W. Pitkin. The network helps show where John W. Pitkin may publish in the future.
Co-authors
The 25 scholars most cited alongside John W. Pitkin, 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 | 1996 | 228 | |
| 2 | 1998 | 68 | |
| 3 | 2006 | 62 | |
| 4 | 1992 | 48 | |
| 5 | 1996 | 23 | |
| 6 | 1990 | 21 | |
| 7 | 2000 | 18 | |
| 8 | 1998 | 17 | |
| 9 | 2012 | 16 | |
| 10 | 2000 | 10 | |
| 11 | 2010 | 10 | |
| 12 | 1994 | 10 |
About John W. Pitkin
John W. Pitkin is a scholar working on Molecular Biology, Plant Science, Biochemistry, Environmental Chemistry and Cell Biology, having authored 12 papers that have together received 531 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (4 papers), Amino Acid Enzymes and Metabolism (4 papers), Mycotoxins in Agriculture and Food (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Plant Pathogens and Fungal Diseases (2 papers), Fungal and yeast genetics research (2 papers), Polysaccharides and Plant Cell Walls (2 papers) and Marine Toxins and Detection Methods (2 papers). The work is most often cited by research in Plant Science (304 citations), Cell Biology (121 citations), Biochemistry (51 citations), Insect Science (60 citations) and Molecular Biology (297 citations). John W. Pitkin has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Jonathan D. Walton, Daniel G. Panaccione, Rowland H. Davis, Felice Cervone, John S. Scott‐Craig, Giulia De Lorenzo, Yi‐Qiang Cheng, Janet L. Ristow, A. N. NIKOL'SKAYA and Laura Williams. Their work appears in journals such as Archives of Biochemistry and Biophysics, Molecular Plant-Microbe Interactions, Biochimica et Biophysica Acta (BBA) - General Subjects, Applied Microbiology and Biotechnology and Gene.
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.