Liyi Geng

883 citations
23 papers · 714 indexed · h-index 16
Topics
Cholinesterase and Neurodegenerative Diseases (10 papers)DNA Repair Mechanisms (5 papers)Computational Drug Discovery Methods (5 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Liyi Geng

23 papers receiving 708 citations

Peers

Liyi Geng
Comparison fields: 5 of 87
  • Molecular Biology 370
  • Pharmacology 226
  • Computational Theory and Mathematics 125
  • Oncology 116
  • Plant Science 103
Replace Oliviero Marinelli with:
Oliviero Marinelli Italy
Katrin Fischer Germany
Ingrid Van der Auwera Belgium
Diane M. Hargrove United States
Alex L. Lublin United States
Cunnigaiper D. Bhanumathy United States
Isadora Carolina Betim Pavan Brazil
Faika Mseeh United States
Won‐Jun Jang South Korea
Hong‐Yi Chiu Taiwan
Liyi Geng relative to Oliviero Marinelli Italy Oliviero Marinelli's profile →
Citations per field
00.5×8.1×
Oliviero Marinelli · 1×
Citations per year

Countries citing papers authored by Liyi Geng

Since Specialization
Citations

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

Fields of papers citing papers by Liyi Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyi Geng

This figure shows the co-authorship network connecting the top 25 collaborators of Liyi Geng. A scholar is included among the top collaborators of Liyi Geng 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 Liyi Geng. Liyi Geng 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 5
2 15
3 8
4 10
5 20
6 82
7 41
8 10
9 13
10 5
11 20
12 32
13 18
14 17
15 42
16 28
17 56
18 80
19 26
20 49

About Liyi Geng

Liyi Geng is a scholar working on Endocrine and Autonomic Systems, Pharmacology and Biological Psychiatry, having authored 23 papers that have together received 714 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (10 papers), DNA Repair Mechanisms (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Pharmacology (226 citations), Endocrine and Autonomic Systems (76 citations) and Computational Theory and Mathematics (125 citations). Liyi Geng has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Stephen Brimijoin, Vicky Ping Chen, Larry M. Karnitz, Catherine J. Huntoon, Yang Gao, Yuan‐Ping Pang, Robin J. Parks, Yang Gao, Randy J. Legerski and Xiaoshan Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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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