Jin Jin

430 total citations
25 papers, 333 citations indexed

About

Jin Jin is a scholar working on Organic Chemistry, Toxicology and Soil Science. According to data from OpenAlex, Jin Jin has authored 25 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 8 papers in Toxicology and 6 papers in Soil Science. Recurrent topics in Jin Jin's work include Organoselenium and organotellurium chemistry (8 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Sulfur-Based Synthesis Techniques (6 papers). Jin Jin is often cited by papers focused on Organoselenium and organotellurium chemistry (8 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Sulfur-Based Synthesis Techniques (6 papers). Jin Jin collaborates with scholars based in China, United States and Ireland. Jin Jin's co-authors include Jonathan B. Martin, Jiasen Wu, Shaozhong Zhang, Weijun Fu, Haiping Lin, Keli Zhao, Miaojing Meng, Frank Berninger, Eric Block and Hailong Wang and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Journal of Hydrology.

In The Last Decade

Jin Jin

22 papers receiving 323 citations

Peers

Jin Jin
Comparison fields: 5 of 67
  • Organic Chemistry 93
  • Soil Science 83
  • Oceanography 51
  • Toxicology 51
  • Geochemistry and Petrology 44
Replace A. Sood with:
A. Sood India
Nannan Li China
Lindsay Trott Australia
K. Brian Astin United Kingdom
BT Hart
Michael E. Fox Canada
Wenhua Gao China
K.R. Kennedy United States
Jin Luo China
Lambertus M. van der Heijdt Netherlands
A. Sood India View profile →
Citations per field, relative to Jin Jin
Jin Jin · 1×
Citations per year, relative to Jin Jin
Jin Jin · 1×

Countries citing papers authored by Jin Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jin Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Jin. A scholar is included among the top collaborators of Jin Jin 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 Jin Jin. Jin Jin 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
# Work Indexed citations
1 0
2 2
3 11
4 2
5 5
6 0
7 28
8 0
9 38
10 1
11 20
12 14
13 8
14 15
15 7
16
[Study on antitumor activities of huanglian jiedu decoction].
6
17
[Comparison between antitumor effect and chemical constituents of Huanglian Jiedu decoction and that of serum containing Huanglian Jiedu decoction].
4
18
Effect of acid rain on germination of wheat and rape
1
19 5
20 20

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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