John Hsieh
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
- DNA and Nucleic Acid Chemistry
- RNA modifications and cancer
- RNA Research and Splicing
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 8
- DNA and Nucleic Acid Chemistry 8
- DNA Repair Mechanisms 6
- Genomics and Chromatin Dynamics 3
- RNA Research and Splicing 3
- Genetics 7
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Timothy M. Lohman (6 shared papers)Gabriel Waksman (2 shared papers)George H. Gauss (1 shared paper)Sergey Korolev (2 shared papers)Carol A. Fierke (9 shared papers)Wei Cheng (1 shared paper)Katherine M. Brendza (1 shared paper)Chih‐Lin Hsieh (3 shared papers)
- Journals
- RNA (4 papers)Journal of Molecular Biology (4 papers)Biochemistry (3 papers)Biopolymers (2 papers)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesRussiaChina
In The Last Decade
John Hsieh
19 papers receiving 955 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 873
- Genetics 331
- Aging 7
- Ecology 90
- Cancer Research 47
Countries citing papers authored by John Hsieh
This map shows the geographic impact of John Hsieh'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 Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Hsieh more than expected).
Fields of papers citing papers by John Hsieh
This network shows the impact of papers produced by John Hsieh. 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 Hsieh. The network helps show where John Hsieh may publish in the future.
Co-authors
The 25 scholars most cited alongside John Hsieh, 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 | 1997 | 425 | |
| 2 | 2001 | 121 | |
| 3 | 2003 | 57 | |
| 4 | 2005 | 50 | |
| 5 | 2013 | 42 | |
| 6 | 2009 | 38 | |
| 7 | 2010 | 34 | |
| 8 | 1996 | 31 | |
| 9 | 2007 | 29 | |
| 10 | 2007 | 28 | |
| 11 | 2010 | 27 | |
| 12 | 2008 | 25 | |
| 13 | 1999 | 20 | |
| 14 | 2006 | 16 | |
| 15 | 2011 | 15 | |
| 16 | 1998 | 11 | |
| 17 | 2012 | 7 | |
| 18 | DNA helicases, motors that move along nucleic acids: lessons from the SF1 helicase superfamily. | 2004 | 3 |
| 19 | 2024 | 2 |
About John Hsieh
John Hsieh is a scholar working on Molecular Biology, Genetics, Ecology, Pathology and Forensic Medicine and Oncology, having authored 19 papers that have together received 981 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (8 papers), DNA and Nucleic Acid Chemistry (8 papers), Bacterial Genetics and Biotechnology (6 papers), DNA Repair Mechanisms (6 papers), Bacteriophages and microbial interactions (5 papers), Genomics and Chromatin Dynamics (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (873 citations), Genetics (331 citations), Aging (7 citations), Ecology (90 citations) and Cancer Research (47 citations). John Hsieh has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Timothy M. Lohman, Gabriel Waksman, George H. Gauss, Sergey Korolev, Carol A. Fierke, Wei Cheng, Katherine M. Brendza, Chih‐Lin Hsieh, Nils G. Walter and David Rueda. Their work appears in journals such as RNA, Journal of Molecular Biology, Biochemistry, Biopolymers and Journal of Biological 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.