Cheng Ji

2.3k citations
67 papers · 1.5k indexed · h-index 22
Topics
Paleontology and Evolutionary Biology (28 papers)Paleontology and Stratigraphy of Fossils (16 papers)Evolution and Paleontology Studies (16 papers)
Partner nations
ChinaUnited StatesItaly

In The Last Decade

Cheng Ji

63 papers receiving 1.5k citations

Peers

Cheng Ji
Comparison fields: 5 of 127
  • Paleontology 578
  • Molecular Biology 391
  • Nature and Landscape Conservation 327
  • Molecular Medicine 229
  • Plant Science 172
Replace Paweł Mackiewicz with:
Paweł Mackiewicz Poland
Carol L. Hotton United States
Giddy Landan Germany
Andrew Smith United Kingdom
Hua Wu China
Zachary D. Blount United States
Erik Michael Rasmussen Denmark
Iris Bruchhaus Germany
Sergio G. Bartual Spain
Vernon Bryson United States
Cheng Ji relative to Paweł Mackiewicz Poland Paweł Mackiewicz's profile →
Citations per field
00.5×5.9×
Paweł Mackiewicz · 1×
Citations per year

Countries citing papers authored by Cheng Ji

Since Specialization
Citations

This map shows the geographic impact of Cheng Ji'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 Cheng Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cheng Ji more than expected).

Fields of papers citing papers by Cheng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng Ji. 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 Cheng Ji. The network helps show where Cheng Ji may publish in the future.

Co-authorship network of co-authors of Cheng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng Ji. A scholar is included among the top collaborators of Cheng Ji based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheng Ji. Cheng Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 14
4 12
5 0
6 5
7 19
8 43
9 52
10 5
11 49
12 96
13 38
14
Effects of Poverty Reduction of Social Security for Urban-Rural Elderly Population
1
15 6
16 41
17 22
18
Application of ARIMA model in the early warning of measles
1
19 75
20 37

About Cheng Ji

Cheng Ji is a scholar working on Paleontology, Molecular Medicine and Nature and Landscape Conservation, having authored 67 papers that have together received 1.5k indexed citations. Recurring topics across this work include Paleontology and Evolutionary Biology (28 papers), Paleontology and Stratigraphy of Fossils (16 papers) and Evolution and Paleontology Studies (16 papers). The work is most often cited by research in Paleontology (578 citations), Molecular Medicine (229 citations) and Nature and Landscape Conservation (327 citations). Cheng Ji has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Marvin J. Miller, D. Jiang, Ryosuke Motani, Andrea Tintori, Patricia A. Miller, Olivier Rieppel, Zuo-Yu Sun, Jiandong Huang, Wei-Cheng Hao and Guan-Bao Chen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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.

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