Geping Wang
Impact in
- Parasitology top 5%
- Parasitic Infections and Diagnostics
- Molecular Biology top 10%
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- DNA Repair Mechanisms
Papers in
- Parasitology 14
- Parasitic Infections and Diagnostics 8
- Vector-borne infectious diseases 5
-
- Viral Infections and Vectors 5
- Amoebic Infections and Treatments 5
- Co-authors
- Alexander G. Yakovlev (6 shared papers)Bogdan A. Stoica (3 shared papers)Mark E. Smulson (2 shared papers)A. Hamid Boulares (1 shared paper)Vessela S. Ivanova (1 shared paper)Sudha Iyer (1 shared paper)Alan I. Faden (3 shared papers)Koichiro Yoshihara (2 shared papers)
- Journals
- Fuzzy Sets and Systems (5 papers)Journal of Biological Chemistry (4 papers)Parasitology Research (4 papers)Pathogens (2 papers)Frontiers in Public Health (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Geping Wang
31 papers receiving 1.7k citations
Geping Wang's Hit Papers
Peers
Comparison fields: 5 of 120
- Parasitology 174
- Molecular Biology 864
- Oncology 282
- Cancer Research 154
- Developmental Neuroscience 43
Countries citing papers authored by Geping Wang
This map shows the geographic impact of Geping Wang'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 Geping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geping Wang more than expected).
Fields of papers citing papers by Geping Wang
This network shows the impact of papers produced by Geping Wang. 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 Geping Wang. The network helps show where Geping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Geping Wang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Role of Poly(ADP-ribose) Polymerase (PARP) Cleavage in Apoptosis Hit paper breakdown → | 1999 | 793 |
| 2 | 2001 | 241 | |
| 3 | 2004 | 129 | |
| 4 | 2000 | 120 | |
| 5 | 2002 | 70 | |
| 6 | 2012 | 45 | |
| 7 | 2014 | 35 | |
| 8 | 1997 | 27 | |
| 9 | 2019 | 26 | |
| 10 | 2018 | 26 | |
| 11 | 2001 | 26 | |
| 12 | 2017 | 22 | |
| 13 | 2020 | 21 | |
| 14 | 2020 | 19 | |
| 15 | 1999 | 14 | |
| 16 | 2016 | 12 | |
| 17 | 2001 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2002 | 8 | |
| 20 | 2023 | 7 |
About Geping Wang
Geping Wang is a scholar working on Parasitology, Infectious Diseases, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Geometry and Topology, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (8 papers), Cell death mechanisms and regulation (5 papers), Vector-borne infectious diseases (5 papers), Viral Infections and Vectors (5 papers), Amoebic Infections and Treatments (5 papers), Vector-Borne Animal Diseases (4 papers), Fixed Point Theorems Analysis (4 papers) and Fuzzy and Soft Set Theory (4 papers). The work is most often cited by research in Parasitology (174 citations), Molecular Biology (864 citations), Oncology (282 citations), Cancer Research (154 citations) and Developmental Neuroscience (43 citations). Geping Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Alexander G. Yakovlev, Bogdan A. Stoica, Mark E. Smulson, A. Hamid Boulares, Vessela S. Ivanova, Sudha Iyer, Alan I. Faden, Koichiro Yoshihara, Vilen Movsesyan and Weili Bao. Their work appears in journals such as Fuzzy Sets and Systems, Journal of Biological Chemistry, Parasitology Research, Pathogens and Frontiers in Public Health.
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.