Li Nan
Impact in
Papers in
- Genetics 8
- Virus-based gene therapy research 8
- Glioma Diagnosis and Treatment 3
-
- Multiple Myeloma Research and Treatments 4
- Co-authors
- Sudhir Agrawal (3 shared papers)Adam B. Keeton (6 shared papers)Gary Anthony Piazza (6 shared papers)Ruiwen Zhang (4 shared papers)Dong Soo Yu (2 shared papers)Bernard D. Gary (5 shared papers)H. Wang (4 shared papers)Elizabeth Ann Beierle (7 shared papers)
- Journals
- Blood (2 papers)Cancer Prevention Research (2 papers)Neuro-Oncology (2 papers)Cancer Chemotherapy and Pharmacology (1 paper)International Journal of Oncology (1 paper)
- Partner nations
- United StatesChinaEgypt
In The Last Decade
Li Nan
26 papers receiving 1.2k citations
Li Nan's Hit Papers
Peers
Comparison fields: 5 of 65
- Genetics 206
- Genetics 293
- Oncology 220
- Immunology 104
- Molecular Biology 268
Countries citing papers authored by Li Nan
This map shows the geographic impact of Li Nan'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 Li Nan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Nan more than expected).
Fields of papers citing papers by Li Nan
This network shows the impact of papers produced by Li Nan. 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 Li Nan. The network helps show where Li Nan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Nan, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Oncolytic HSV-1 G207 Immunovirotherapy for Pediatric High-Grade Gliomas Hit paper breakdown → | 2021 | 276 |
| 2 | Antisense anti-MDM2 oligonucleotides as a novel therapeutic approach to human breast cancer: in vitro and in vivo activities and mechanisms. | 2001 | 94 |
| 3 | 2005 | 86 | |
| 4 | 2010 | 83 | |
| 5 | 2012 | 71 | |
| 6 | 2018 | 69 | |
| 7 | 2010 | 60 | |
| 8 | 2015 | 57 | |
| 9 | 2015 | 49 | |
| 10 | 2002 | 46 | |
| 11 | 2013 | 41 | |
| 12 | 2013 | 37 | |
| 13 | 2019 | 30 | |
| 14 | 2014 | 29 | |
| 15 | 2017 | 21 | |
| 16 | 2002 | 20 | |
| 17 | 2014 | 20 | |
| 18 | 2008 | 18 | |
| 19 | 2022 | 16 | |
| 20 | 2005 | 13 |
About Li Nan
Li Nan is a scholar working on Genetics, Hematology, Genetics, Molecular Biology and Oncology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Phosphodiesterase function and regulation (4 papers), Bone Metabolism and Diseases (4 papers), Multiple Myeloma Research and Treatments (4 papers), Inflammatory mediators and NSAID effects (3 papers), Cancer-related Molecular Pathways (3 papers), Glioma Diagnosis and Treatment (3 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Genetics (206 citations), Genetics (293 citations), Oncology (220 citations), Immunology (104 citations) and Molecular Biology (268 citations). Li Nan has collaborated with scholars based in United States, China and Egypt. Frequent co-authors include Sudhir Agrawal, Adam B. Keeton, Gary Anthony Piazza, Ruiwen Zhang, Dong Soo Yu, Bernard D. Gary, H. Wang, Elizabeth Ann Beierle, Gregory K. Friedman and Xiaosi Han. Their work appears in journals such as Blood, Cancer Prevention Research, Neuro-Oncology, Cancer Chemotherapy and Pharmacology and International Journal of Oncology.
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.