K M Lo
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- DNA and Nucleic Acid Chemistry
- DNA Repair Mechanisms
Papers in
-
- DNA and Nucleic Acid Chemistry 3
- Genomics and Chromatin Dynamics 2
- RNA modifications and cancer 2
-
- Immune Cell Function and Interaction 3
- Co-authors
- Stephen T. Smale (4 shared papers)William A. Haseltine (4 shared papers)Nathaniel R. Landau (1 shared paper)William A. Franklin (1 shared paper)Christoph W. Turck (1 shared paper)K Hahm (1 shared paper)Patricia Ernst (1 shared paper)Giorgio Palù (1 shared paper)
- Journals
- Molecular and Cellular Biology (4 papers)The Journal of Immunology (1 paper)Virology (1 paper)Science (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
K M Lo
9 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 83
- Immunology 230
- Molecular Biology 724
- Virology 45
- Cancer Research 96
- Hematology 64
Countries citing papers authored by K M Lo
This map shows the geographic impact of K M Lo'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 M Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K M Lo more than expected).
Fields of papers citing papers by K M Lo
This network shows the impact of papers produced by K M Lo. 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 M Lo. The network helps show where K M Lo may publish in the future.
Co-authors
The 25 scholars most cited alongside K M Lo, 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 | 1994 | 311 | |
| 2 | 1994 | 192 | |
| 3 | 1991 | 181 | |
| 4 | 1982 | 139 | |
| 5 | 1992 | 103 | |
| 6 | 1998 | 81 | |
| 7 | 1980 | 29 | |
| 8 | 1985 | 28 | |
| 9 | 1992 | 14 | |
| 10 | 1982 | 0 |
About K M Lo
K M Lo is a scholar working on Molecular Biology, Immunology, Cancer Research, Virology and Ecology, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (3 papers), Immune Cell Function and Interaction (3 papers), Genomics and Chromatin Dynamics (2 papers), RNA modifications and cancer (2 papers), Peptidase Inhibition and Analysis (1 paper), HIV Research and Treatment (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Immunology (230 citations), Molecular Biology (724 citations), Virology (45 citations), Cancer Research (96 citations) and Hematology (64 citations). K M Lo has collaborated with scholars based in United States and Italy. Frequent co-authors include Stephen T. Smale, William A. Haseltine, Nathaniel R. Landau, William A. Franklin, Christoph W. Turck, K Hahm, Patricia Ernst, Giorgio Palù, Maria Angela Biasolo and Katayoon H. Emami. Their work appears in journals such as Molecular and Cellular Biology, The Journal of Immunology, Virology, Science and Cold Spring Harbor Symposia on Quantitative Biology.
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.