Mark Kokoris
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Biotechnology top 5%
- Cancer Research and Treatments
Papers in
-
- Molecular Biology Techniques and Applications 3
- DNA Repair Mechanisms 1
-
- Herpesvirus Infections and Treatments 5
- Co-authors
- Margaret E. Black (6 shared papers)Peter J. Sabo (3 shared papers)Qianwa Liang (1 shared paper)Harvey R. Herschman (1 shared paper)Meera Iyer (1 shared paper)Michael E. Phelps (1 shared paper)Jorge R. Barrio (1 shared paper)Eileen Bauer (1 shared paper)
- Journals
- Methods (2 papers)Molecular Diagnosis (2 papers)Emerging infectious diseases (1 paper)Journal of Biological Chemistry (1 paper)Gene Therapy (1 paper)
- Partner nations
- United StatesIsraelIndia
In The Last Decade
Mark Kokoris
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Genetics 444
- Biotechnology 94
- Molecular Biology 543
- Epidemiology 242
- Infectious Diseases 132
Countries citing papers authored by Mark Kokoris
This map shows the geographic impact of Mark Kokoris'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 Mark Kokoris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Kokoris more than expected).
Fields of papers citing papers by Mark Kokoris
This network shows the impact of papers produced by Mark Kokoris. 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 Mark Kokoris. The network helps show where Mark Kokoris may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Kokoris, 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 | 2000 | 354 | |
| 2 | Herpes simplex virus-1 thymidine kinase mutants created by semi-random sequence mutagenesis improve prodrug-mediated tumor cell killing. | 2001 | 124 |
| 3 | 2005 | 121 | |
| 4 | 2003 | 82 | |
| 5 | 2002 | 76 | |
| 6 | 1999 | 75 | |
| 7 | 2004 | 72 | |
| 8 | 2000 | 62 | |
| 9 | 2000 | 53 | |
| 10 | 1996 | 40 | |
| 11 | 2005 | 27 | |
| 12 | 2006 | 16 | |
| 13 | In vitro evaluation of mutant HSV-1 thymidine kinases for suicide gene therapy. | 2000 | 16 |
| 14 | 2005 | 15 | |
| 15 | 2000 | 6 | |
| 16 | 2006 | 5 | |
| 17 | 2006 | 1 |
About Mark Kokoris
Mark Kokoris is a scholar working on Molecular Biology, Epidemiology, Genetics, Biomedical Engineering and Infectious Diseases, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (5 papers), Virus-based gene therapy research (5 papers), Biosensors and Analytical Detection (4 papers), Microfluidic and Capillary Electrophoresis Applications (4 papers), Microfluidic and Bio-sensing Technologies (3 papers), Molecular Biology Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Genetics (444 citations), Biotechnology (94 citations), Molecular Biology (543 citations), Epidemiology (242 citations) and Infectious Diseases (132 citations). Mark Kokoris has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Margaret E. Black, Peter J. Sabo, Qianwa Liang, Harvey R. Herschman, Meera Iyer, Michael E. Phelps, Jorge R. Barrio, Eileen Bauer, Sanjiv S. Gambhir and Mohammad Namavari. Their work appears in journals such as Methods, Molecular Diagnosis, Emerging infectious diseases, Journal of Biological Chemistry and Gene Therapy.
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.