Liang Shi

17.3k citations
198 papers · 12.1k indexed · 4 hit papers · h-index 56
Topics
Microbial Fuel Cells and Bioremediation (94 papers)Electrochemical sensors and biosensors (38 papers)Electrochemical Analysis and Applications (23 papers)

In The Last Decade

Liang Shi

195 papers receiving 12.0k citations

Hit Papers

Extracellular electron transfer mechanisms be...200720262013201920162007201420224008001.2k

Peers

Liang Shi
Comparison fields: 5 of 155
  • Environmental Engineering 6.9k
  • Electrical and Electronic Engineering 3.4k
  • Molecular Biology 2.9k
  • Biomedical Engineering 2.0k
  • Electrochemistry 1.7k
Replace Daniel R. Bond with:
Daniel R. Bond United States
Yuri A. Gorby United States
David J. Richardson United Kingdom
James K. Fredrickson United States
Jeffrey A. Gralnick United States
Dianne K. Newman United States
Kelly P. Nevin United States
Gemma Reguera United States
Feng Zhao China
Jim Fredrickson United States
Liang Shi relative to Daniel R. Bond United States Daniel R. Bond's profile →
Citations per field
00.5×2.8×
Daniel R. Bond · 1×
Citations per year

Countries citing papers authored by Liang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Liang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Shi. A scholar is included among the top collaborators of Liang Shi 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 Liang Shi. Liang Shi 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 1
2 3
3 7
4 2
5 2
6 1
7 1
8 10
9 3
10 14
11 13
12 19
13 8
14 47
15
Dynamic Kinetics of Nitrogen Cycle in Groundwater-Surface Water Interaction Zone at Hanford Site
1
16 272
17 372
18 99
19 123
20 62

About Liang Shi

Liang Shi is a scholar working on Environmental Engineering, Electrochemistry and Geochemistry and Petrology, having authored 198 papers that have together received 12.1k indexed citations. Recurring topics across this work include Microbial Fuel Cells and Bioremediation (94 papers), Electrochemical sensors and biosensors (38 papers) and Electrochemical Analysis and Applications (23 papers). The work is most often cited by research in Environmental Engineering (6.9k citations), Electrochemistry (1.7k citations) and Geochemistry and Petrology (973 citations). Liang Shi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include James K. Fredrickson, John M. Zachara, David J. Richardson, Haluk Beyenal, Juan Liu, Zhe-Ming Wang, Thomas C. Squier, Hailiang Dong, Julea N. Butt and Thomas A. Clarke. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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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