K. Monica
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Biotechnology top 5%
- Cancer Research and Treatments
Papers in
-
- Genomics and Chromatin Dynamics 2
- Co-authors
- Mitchell H. Tsai (1 shared paper)Amato J. Giaccia (1 shared paper)Albert J. Fornace (1 shared paper)Thomas G. Graeber (1 shared paper)Michael L. Cleary (2 shared papers)Jamison L. Nourse (1 shared paper)David L. Saltman (1 shared paper)Naomi Galili (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Journal of Advanced Pharmaceutical Technology amp Research (1 paper)APOPTOSIS (1 paper)Clinical Rheumatology (1 paper)Medical Hypotheses (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
K. Monica
9 papers receiving 854 citations
K. Monica's Hit Papers
Peers
Comparison fields: 5 of 84
- Cancer Research 317
- Biotechnology 107
- Oncology 304
- Molecular Biology 609
- Hematology 77
Countries citing papers authored by K. Monica
This map shows the geographic impact of K. Monica'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 K. Monica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Monica more than expected).
Fields of papers citing papers by K. Monica
This network shows the impact of papers produced by K. Monica. 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 K. Monica. The network helps show where K. Monica may publish in the future.
Co-authors
The 18 scholars most cited alongside K. Monica, 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 | Hypoxia induces accumulation of p53 protein, but activation of a G1-phase checkpoint by low-oxygen conditions is independent of p53 status. Hit paper breakdown → | 1994 | 515 |
| 2 | 1991 | 249 | |
| 3 | 1994 | 87 | |
| 4 | 2021 | 8 | |
| 5 | 2022 | 6 | |
| 6 | 1990 | 4 | |
| 7 | 2022 | 3 | |
| 8 | 2019 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2020 | 0 |
About K. Monica
K. Monica is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Hematology, Infectious Diseases and Genetics, having authored 12 papers that have together received 876 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (2 papers), Long-Term Effects of COVID-19 (1 paper), Phytochemicals and Medicinal Plants (1 paper), COVID-19 diagnosis using AI (1 paper), Cancer Research and Treatments (1 paper), Acute Myeloid Leukemia Research (1 paper), Brain Tumor Detection and Classification (1 paper) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Cancer Research (317 citations), Biotechnology (107 citations), Oncology (304 citations), Molecular Biology (609 citations) and Hematology (77 citations). K. Monica has collaborated with scholars based in India and United States. Frequent co-authors include Mitchell H. Tsai, Amato J. Giaccia, Albert J. Fornace, Thomas G. Graeber, Michael L. Cleary, Jamison L. Nourse, David L. Saltman, Naomi Galili, Douglas A. Dedera and David P. LeBrun. Their work appears in journals such as Molecular and Cellular Biology, Journal of Advanced Pharmaceutical Technology amp Research, APOPTOSIS, Clinical Rheumatology and Medical Hypotheses.
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.