G. Jin
Impact in
- Paleontology top 2%
- Archaeology and ancient environmental studies
- Geography, Planning and Development top 0.5%
- Pacific and Southeast Asian Studies
Papers in ⓘ
- Paleontology 21
- Archaeology and ancient environmental studies 21
-
- Pacific and Southeast Asian Studies 18
- Co-authors
- Pavel E. Tarasov (4 shared papers)Mayke Wagner (3 shared papers)Xiaohong Wu (3 shared papers)Shiling Yuan (3 shared papers)Jade d’Alpoim Guedes (3 shared papers)Tengwen Long (1 shared paper)R. Kyle Bocinsky (2 shared papers)Christian Leipe (1 shared paper)
- Journals
- Quaternary International (4 papers)Quaternary Science Reviews (2 papers)The Holocene (2 papers)Frontiers in Pharmacology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
G. Jin
37 papers receiving 880 citations
Peers
Comparison fields: 5 of 88
- Paleontology 471
- Geography, Planning and Development 329
- Atmospheric Science 455
- Anthropology 232
- Earth-Surface Processes 72
Countries citing papers authored by G. Jin
This map shows the geographic impact of G. Jin'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 G. Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Jin more than expected).
Fields of papers citing papers by G. Jin
This network shows the impact of papers produced by G. Jin. 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 G. Jin. The network helps show where G. Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside G. Jin, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 95 | |
| 2 | 2006 | 87 | |
| 3 | 2010 | 80 | |
| 4 | 2002 | 61 | |
| 5 | 2013 | 59 | |
| 6 | 2016 | 51 | |
| 7 | 2018 | 48 | |
| 8 | 2015 | 40 | |
| 9 | 2022 | 39 | |
| 10 | 2018 | 34 | |
| 11 | 2007 | 34 | |
| 12 | 2014 | 34 | |
| 13 | 2016 | 31 | |
| 14 | 2014 | 28 | |
| 15 | 2017 | 23 | |
| 16 | 2016 | 17 | |
| 17 | 2020 | 17 | |
| 18 | 2021 | 16 | |
| 19 | 2018 | 15 | |
| 20 | 2012 | 14 |
About G. Jin
G. Jin is a scholar working on Paleontology, Geography, Planning and Development, Atmospheric Science, Anthropology and Ecology, having authored 40 papers that have together received 918 indexed citations. Recurring topics across this work include Archaeology and ancient environmental studies (21 papers), Pacific and Southeast Asian Studies (18 papers), Geology and Paleoclimatology Research (16 papers), Pleistocene-Era Hominins and Archaeology (7 papers), Isotope Analysis in Ecology (4 papers), Geomagnetism and Paleomagnetism Studies (3 papers), Silicon Effects in Agriculture (3 papers) and Geological formations and processes (2 papers). The work is most often cited by research in Paleontology (471 citations), Geography, Planning and Development (329 citations), Atmospheric Science (455 citations), Anthropology (232 citations) and Earth-Surface Processes (72 citations). G. Jin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Pavel E. Tarasov, Mayke Wagner, Xiaohong Wu, Shiling Yuan, Jade d’Alpoim Guedes, Tengwen Long, R. Kyle Bocinsky, Christian Leipe, Yongxin Pan and Lisa Tauxe. Their work appears in journals such as Quaternary International, Quaternary Science Reviews, The Holocene, Frontiers in Pharmacology and Proceedings of the National Academy of Sciences.
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.