K Gan

1.5k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

K Gan is a scholar working on Molecular Biology, Clinical Biochemistry and Cell Biology. According to data from OpenAlex, K Gan has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Clinical Biochemistry and 2 papers in Cell Biology. Recurrent topics in K Gan's work include Protein Structure and Dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Paraoxonase enzyme and polymorphisms (2 papers). K Gan is often cited by papers focused on Protein Structure and Dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Paraoxonase enzyme and polymorphisms (2 papers). K Gan collaborates with scholars based in United States and China. K Gan's co-authors include Bert N. La Du, H W Eckerson, Andrew Smolen, S. Adkins, Maria Mody, Krishnan Sankaran, Henry C. Wu, Nabil Hailat, Hongyi Qi and Martí Aldea and has published in prestigious journals such as Journal of Bacteriology, Drug Metabolism and Disposition and The Journal of Biochemistry.

In The Last Decade

K Gan

8 papers receiving 1.3k citations

Hit Papers

Purification of human serum paraoxonase/arylesterase. Evi... 1991 2026 2002 2014 1991 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
K Gan United States 8 1.0k 506 302 282 274 8 1.3k
Carey J. Ng United States 13 897 0.9× 431 0.9× 240 0.8× 286 1.0× 369 1.3× 13 1.6k
Yu‐Yan Yeh United States 18 178 0.2× 303 0.6× 48 0.2× 31 0.1× 253 0.9× 41 1.1k
María Á. Navarro Spain 26 140 0.1× 96 0.2× 234 0.8× 61 0.2× 510 1.9× 64 1.6k
Predrag Ljubuncic Israel 16 44 0.0× 294 0.6× 55 0.2× 96 0.3× 298 1.1× 23 1.1k
A. Esteller Spain 16 48 0.0× 106 0.2× 72 0.2× 88 0.3× 271 1.0× 66 1.2k
Aleksandra Uskoković Serbia 20 59 0.1× 152 0.3× 59 0.2× 88 0.3× 378 1.4× 67 954
Uğur Çevikbaş Türkiye 19 49 0.0× 126 0.2× 53 0.2× 56 0.2× 206 0.8× 63 1.3k
Carmen Arnal Spain 23 82 0.1× 70 0.1× 236 0.8× 39 0.1× 438 1.6× 59 1.4k
M S Murthy Canada 15 442 0.4× 65 0.1× 45 0.1× 29 0.1× 609 2.2× 29 860
Joaquín C. Surra Spain 23 79 0.1× 82 0.2× 198 0.7× 33 0.1× 381 1.4× 58 1.3k

Countries citing papers authored by K Gan

Since Specialization
Citations

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

Fields of papers citing papers by K Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Gan

This figure shows the co-authorship network connecting the top 25 collaborators of K Gan. A scholar is included among the top collaborators of K Gan 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 K Gan. K Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Sankaran, Krishnan, K Gan, Brian G. Rash, et al.. (1997). Roles of histidine-103 and tyrosine-235 in the function of the prolipoprotein diacylglyceryl transferase of Escherichia coli. Journal of Bacteriology. 179(9). 2944–2948. 29 indexed citations
2.
Qi, Hongyi, Krishnan Sankaran, K Gan, & Henry C. Wu. (1995). Structure-function relationship of bacterial prolipoprotein diacylglyceryl transferase: functionally significant conserved regions. Journal of Bacteriology. 177(23). 6820–6824. 51 indexed citations
3.
Gan, K, Krishnan Sankaran, M G Williams, et al.. (1995). The umpA gene of Escherichia coli encodes phosphatidylglycerol:prolipoprotein diacylglyceryl transferase (lgt) and regulates thymidylate synthase levels through translational coupling. Journal of Bacteriology. 177(7). 1879–1882. 34 indexed citations
4.
Adkins, S., K Gan, Maria Mody, & Bert N. La Du. (1993). Molecular basis for the polymorphic forms of human serum paraoxonase/arylesterase: glutamine or arginine at position 191, for the respective A or B allozymes.. PubMed. 52(3). 598–608. 420 indexed citations
5.
Chen, Xiaohong, et al.. (1992). Chemical Synthesis, Molecular Cloning, and Expression of the Gene Coding for the Trichosanthes Trypsin Inhibitor—a Squash Family Inhibitor1. The Journal of Biochemistry. 112(1). 45–51. 21 indexed citations
6.
Smolen, Andrew, H W Eckerson, K Gan, Nabil Hailat, & Bert N. La Du. (1991). Characteristics of the genetically determined allozymic forms of human serum paraoxonase/arylesterase.. Drug Metabolism and Disposition. 19(1). 107–112. 103 indexed citations
7.
Gan, K, Andrew Smolen, H W Eckerson, & Bert N. La Du. (1991). Purification of human serum paraoxonase/arylesterase. Evidence for one esterase catalyzing both activities.. Drug Metabolism and Disposition. 19(1). 100–106. 531 indexed citations breakdown →
8.
Gan, K, et al.. (1991). PURIFICATION OF HUMAN SERUM PARAOXONASE/ARYLESTERASE. 19(1). 100–106. 155 indexed citations

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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