Jack N. Liang

1.1k total citations
40 papers, 980 citations indexed

About

Jack N. Liang is a scholar working on Molecular Biology, Physiology and Clinical Biochemistry. According to data from OpenAlex, Jack N. Liang has authored 40 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Physiology and 16 papers in Clinical Biochemistry. Recurrent topics in Jack N. Liang's work include Connexins and lens biology (23 papers), Biochemical effects in animals (19 papers) and Advanced Glycation End Products research (15 papers). Jack N. Liang is often cited by papers focused on Connexins and lens biology (23 papers), Biochemical effects in animals (19 papers) and Advanced Glycation End Products research (15 papers). Jack N. Liang collaborates with scholars based in United States, China and Canada. Jack N. Liang's co-authors include Bireswar Chakrabarti, Usha P. Andley, Buddhapriya Chakrabarti, R. J. Gillespie, L T Chylack, Xiaoyan Li, Eugene S. Stevens, E.R. Morris, Swagata Bose and David A. Rees and has published in prestigious journals such as Journal of the American Chemical Society, Biochemistry and Journal of Hazardous Materials.

In The Last Decade

Jack N. Liang

38 papers receiving 950 citations

Peers

Jack N. Liang
Comparison fields: 5 of 104
  • Molecular Biology 700
  • Physiology 314
  • Clinical Biochemistry 296
  • Cell Biology 116
  • Organic Chemistry 64
J. Samuel Zigler United States
Keith Elliott United Kingdom
H. Aquila Germany
Takahiro Hatanaka United States
M.A. Rosemeyer United Kingdom
Victor R. Leverenz United States
Paolo Gazzotti Switzerland
Laishram Rajendrakumar Singh India
Kenji Aki Japan
D. E. Green United States
J. Samuel Zigler United States View profile →
Citations per field, relative to Jack N. Liang
Jack N. Liang · 1×
Citations per year, relative to Jack N. Liang
Jack N. Liang · 1×

Countries citing papers authored by Jack N. Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jack N. Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jack N. Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Jack N. Liang. A scholar is included among the top collaborators of Jack N. Liang 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 Jack N. Liang. Jack N. Liang 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 1
3 2
4 22
5 11
6
Interaction and Biophysical Properties of Human Lens Q155* and Some ß–Strand Deleted ßB2–Crystallin Mutants
1
7
GSH–Modified GammaC–Crystallin is Selectively Degraded by the Ubiquitin–Proteasome Pathway
1
8 9
9 3
10 12
11 57
12 6
13 40
14 4
15 9
16 33
17 5
18 9
19 23
20 108

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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