Wa Da
Impact in
- Paleontology top 10%
- Archaeology and ancient environmental studies
- Anthropology top 5%
- Pleistocene-Era Hominins and Archaeology
Papers in
-
- Plant and animal studies 10
- Coleoptera Taxonomy and Distribution 3
- Genetics 11
- Lepidoptera: Biology and Taxonomy 8
- Co-authors
- Xing Gao (2 shared papers)Junyi Ge (2 shared papers)Wei He (2 shared papers)John Olsen (1 shared paper)Shoujun Wang (1 shared paper)Mingjie Yi (1 shared paper)Xinying Zhou (1 shared paper)Xiaomei Nian (1 shared paper)
- Journals
- Zootaxa (6 papers)ZooKeys (3 papers)Insects (2 papers)Cell (1 paper)Journal of Comparative Physiology A (1 paper)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Wa Da
19 papers receiving 482 citations
Wa Da's Hit Papers
Peers
Comparison fields: 5 of 85
- Paleontology 97
- Anthropology 111
- Parasitology 59
- Infectious Diseases 155
- Public Health, Environmental and Occupational Health 191
Countries citing papers authored by Wa Da
This map shows the geographic impact of Wa Da'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 Wa Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wa Da more than expected).
Fields of papers citing papers by Wa Da
This network shows the impact of papers produced by Wa Da. 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 Wa Da. The network helps show where Wa Da may publish in the future.
Co-authors
The 25 scholars most cited alongside Wa Da, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The earliest human occupation of the high-altitude Tibetan Plateau 40 thousand to 30 thousand years ago Hit paper breakdown → | 2018 | 205 |
| 2 | 2011 | 142 | |
| 3 | 2011 | 62 | |
| 4 | 2022 | 39 | |
| 5 | 2024 | 9 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2019 | 4 | |
| 10 | 2025 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 1 |
About Wa Da
Wa Da is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Nature and Landscape Conservation, Insect Science and Paleontology, having authored 25 papers that have together received 502 indexed citations. Recurring topics across this work include Plant and animal studies (10 papers), Lepidoptera: Biology and Taxonomy (8 papers), Ecology and Vegetation Dynamics Studies (4 papers), Plant and Fungal Species Descriptions (4 papers), Coleoptera Taxonomy and Distribution (3 papers), Viral Infections and Vectors (2 papers), Geology and Paleoclimatology Research (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Paleontology (97 citations), Anthropology (111 citations), Parasitology (59 citations), Infectious Diseases (155 citations) and Public Health, Environmental and Occupational Health (191 citations). Wa Da has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Xing Gao, Junyi Ge, Wei He, John Olsen, Shoujun Wang, Mingjie Yi, Xinying Zhou, Xiaomei Nian, Peiqi Zhang and Hao Long. Their work appears in journals such as Zootaxa, ZooKeys, Insects, Cell and Journal of Comparative Physiology A.
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.