Kip E. Guja
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
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- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
- RNA modifications and cancer
- Steroid Chemistry and Biochemistry
- DNA Repair Mechanisms
- DNA and Nucleic Acid Chemistry
Papers in
-
- Mitochondrial Function and Pathology 4
- DNA Repair Mechanisms 3
- RNA modifications and cancer 3
- RNA and protein synthesis mechanisms 3
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- Prostate Cancer Treatment and Research 3
- Co-authors
- Miguel Garcı́a-Dı́az (14 shared papers)Joel F. Schildbach (3 shared papers)Brian J. Anderson (1 shared paper)Nicole S. Sampson (2 shared papers)Meng Yang (2 shared papers)Edison Mejía (4 shared papers)Elena Yakubovskaya (4 shared papers)Andrei Iagaru (7 shared papers)
- Journals
- Seminars in Nuclear Medicine (4 papers)Nucleic Acids Research (4 papers)PLoS ONE (2 papers)Journal of Shoulder and Elbow Surgery (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Kip E. Guja
28 papers receiving 643 citations
Peers
Comparison fields: 5 of 88
- Pharmacology 65
- Molecular Biology 478
- Cancer Research 59
- Aging 6
- Molecular Medicine 17
Countries citing papers authored by Kip E. Guja
This map shows the geographic impact of Kip E. Guja'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 Kip E. Guja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kip E. Guja more than expected).
Fields of papers citing papers by Kip E. Guja
This network shows the impact of papers produced by Kip E. Guja. 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 Kip E. Guja. The network helps show where Kip E. Guja may publish in the future.
Co-authors
The 25 scholars most cited alongside Kip E. Guja, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 81 | |
| 2 | 2008 | 78 | |
| 3 | 2019 | 57 | |
| 4 | 2012 | 55 | |
| 5 | 2014 | 50 | |
| 6 | 2015 | 50 | |
| 7 | 2014 | 36 | |
| 8 | 2016 | 31 | |
| 9 | 2016 | 30 | |
| 10 | 2017 | 24 | |
| 11 | 2013 | 21 | |
| 12 | 2011 | 19 | |
| 13 | 2008 | 17 | |
| 14 | 2015 | 17 | |
| 15 | 2018 | 16 | |
| 16 | 2016 | 14 | |
| 17 | 2014 | 13 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 7 | |
| 20 | 2013 | 6 |
About Kip E. Guja
Kip E. Guja is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Epidemiology and Oncology, having authored 29 papers that have together received 650 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (4 papers), Bacterial Genetics and Biotechnology (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Prostate Cancer Treatment and Research (3 papers), DNA Repair Mechanisms (3 papers), RNA modifications and cancer (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Pharmacology (65 citations), Molecular Biology (478 citations), Cancer Research (59 citations), Aging (6 citations) and Molecular Medicine (17 citations). Kip E. Guja has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Miguel Garcı́a-Dı́az, Joel F. Schildbach, Brian J. Anderson, Nicole S. Sampson, Meng Yang, Edison Mejía, Elena Yakubovskaya, Andrei Iagaru, Woo Suk Choi and Hong Song. Their work appears in journals such as Seminars in Nuclear Medicine, Nucleic Acids Research, PLoS ONE, Journal of Shoulder and Elbow Surgery and Proceedings of the National Academy of Sciences.
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.