E Li
Impact in
- Parasitology top 2%
- Parasitic Infections and Diagnostics
- Infectious Diseases top 5%
- Amoebic Infections and Treatments
Papers in
-
- Retinoids in leukemia and cellular processes 6
- Glycosylation and Glycoproteins Research 2
-
- Amoebic Infections and Treatments 7
- Co-authors
- Samuel L. Stanley (7 shared papers)Jeffrey I. Gordon (6 shared papers)Annette Becker (3 shared papers)Paul E. Swanson (2 shared papers)D E Ong (2 shared papers)Karl B. Seydel (1 shared paper)N. C. YANG (3 shared papers)B. Locke (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)Infection and Immunity (4 papers)Proceedings of the National Academy of Sciences (3 papers)The Journal of Experimental Medicine (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
E Li
13 papers receiving 771 citations
Peers
Comparison fields: 5 of 68
- Parasitology 293
- Infectious Diseases 385
- Biochemistry 84
- Cell Biology 104
- Surgery 264
Countries citing papers authored by E Li
This map shows the geographic impact of E Li'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 E Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Li more than expected).
Fields of papers citing papers by E Li
This network shows the impact of papers produced by E Li. 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 E Li. The network helps show where E Li may publish in the future.
Co-authors
The 25 scholars most cited alongside E Li, 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 | 1997 | 128 | |
| 2 | 1986 | 126 | |
| 3 | 1990 | 106 | |
| 4 | 1988 | 81 | |
| 5 | 1995 | 68 | |
| 6 | 1987 | 52 | |
| 7 | 1988 | 51 | |
| 8 | 1994 | 43 | |
| 9 | 1991 | 43 | |
| 10 | 1989 | 42 | |
| 11 | 1989 | 22 | |
| 12 | 1987 | 17 | |
| 13 | 1996 | 14 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About E Li
E Li is a scholar working on Molecular Biology, Infectious Diseases, Parasitology, Surgery and Cell Biology, having authored 16 papers that have together received 793 indexed citations. Recurring topics across this work include Amoebic Infections and Treatments (7 papers), Retinoids in leukemia and cellular processes (6 papers), Parasitic Infections and Diagnostics (6 papers), Biotin and Related Studies (5 papers), Antioxidant Activity and Oxidative Stress (2 papers), Diagnosis and treatment of tuberculosis (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Parasitology (293 citations), Infectious Diseases (385 citations), Biochemistry (84 citations), Cell Biology (104 citations) and Surgery (264 citations). E Li has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Samuel L. Stanley, Jeffrey I. Gordon, Annette Becker, Paul E. Swanson, D E Ong, Karl B. Seydel, N. C. YANG, B. Locke, Laurie Demmer and David A. Sweetser. Their work appears in journals such as Journal of Biological Chemistry, Infection and Immunity, Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Cancer Research.
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.