Jin Xiong

2.5k citations
32 papers · 1.7k indexed · h-index 23
Topics
Photosynthetic Processes and Mechanisms (12 papers)Microbial Community Ecology and Physiology (6 papers)Algal biology and biofuel production (5 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Jin Xiong

31 papers receiving 1.7k citations

Peers

Jin Xiong
Comparison fields: 5 of 123
  • Molecular Biology 1.1k
  • Ecology 280
  • Plant Science 271
  • Immunology 264
  • Cellular and Molecular Neuroscience 226
Replace Mihoko Takahashi with:
Mihoko Takahashi Japan
David F. Savage United States
Eric A. Gaucher United States
Alexander G. McLennan United Kingdom
Mikhail A. Kutuzov United Kingdom
Dylan Chivian United States
Ilka M. Axmann Germany
Lawrence J. Dangott United States
Yana Bromberg United States
Austen Riggs United States
Jin Xiong relative to Mihoko Takahashi Japan Mihoko Takahashi's profile →
Citations per field
00.5×2.6×
Mihoko Takahashi · 1×
Citations per year

Countries citing papers authored by Jin Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Jin Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Xiong. A scholar is included among the top collaborators of Jin Xiong 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 Xiong. Jin Xiong 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 3
3 6
4 2
5 25
6 61
7 51
8 117
9 21
10 35
11 37
12 38
13 131
14 29
15 30
16 32
17 23
18 84
19 41
20 52

About Jin Xiong

Jin Xiong is a scholar working on Microbiology, Applied Microbiology and Biotechnology and Renewable Energy, Sustainability and the Environment, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (12 papers), Microbial Community Ecology and Physiology (6 papers) and Algal biology and biofuel production (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (113 citations), Molecular Biology (1.1k citations) and Renewable Energy, Sustainability and the Environment (225 citations). Jin Xiong has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Carl E. Bauer, Kazuhito Inoue, Will Fischer, Masaaki Nakahara, Haitao Guo, Govind Jee, John S. Graham, Shankar Subramaniam, Robert T. Sarisky and C. Cheng Kao. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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