Krishnan Sankaran

2.4k total citations
64 papers, 1.8k citations indexed

About

Krishnan Sankaran is a scholar working on Molecular Biology, Genetics and Endocrinology. According to data from OpenAlex, Krishnan Sankaran has authored 64 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 10 papers in Genetics and 9 papers in Endocrinology. Recurrent topics in Krishnan Sankaran's work include Glycosylation and Glycoproteins Research (10 papers), Bacterial Genetics and Biotechnology (9 papers) and Escherichia coli research studies (8 papers). Krishnan Sankaran is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), Bacterial Genetics and Biotechnology (9 papers) and Escherichia coli research studies (8 papers). Krishnan Sankaran collaborates with scholars based in India, United States and United Kingdom. Krishnan Sankaran's co-authors include Henry C. Wu, Mohan Babu, P D Rick, M. Madan Babu, Martin Madera, L. Aravind, Julian Gough, Sita D. Gupta, K Gan and Gustavo Stringel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Krishnan Sankaran

63 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Krishnan Sankaran India 23 983 423 221 212 192 64 1.8k
Jetta J. E. Bijlsma Netherlands 28 907 0.9× 413 1.0× 276 1.2× 270 1.3× 206 1.1× 45 2.3k
Brian D. Corbin United States 10 754 0.8× 408 1.0× 249 1.1× 184 0.9× 131 0.7× 11 1.4k
Michel‐Yves Mistou France 31 1.4k 1.5× 243 0.6× 316 1.4× 156 0.7× 169 0.9× 65 2.7k
Raquel Tobes Spain 19 1.3k 1.3× 569 1.3× 297 1.3× 150 0.7× 209 1.1× 42 2.2k
Abdellah Benachour France 28 951 1.0× 296 0.7× 620 2.8× 119 0.6× 185 1.0× 55 2.0k
Henry S. Gibbons United States 20 724 0.7× 550 1.3× 163 0.7× 204 1.0× 369 1.9× 47 1.6k
Kelsi L. Anderson United States 12 955 1.0× 350 0.8× 618 2.8× 217 1.0× 102 0.5× 15 1.6k
Devin L. Stauff United States 16 1.0k 1.0× 387 0.9× 490 2.2× 142 0.7× 131 0.7× 24 1.6k
Nicholas R. Waterfield United Kingdom 34 1.6k 1.7× 496 1.2× 155 0.7× 335 1.6× 415 2.2× 68 3.3k
Mark E. Hart United States 18 738 0.8× 269 0.6× 396 1.8× 127 0.6× 128 0.7× 32 1.4k

Countries citing papers authored by Krishnan Sankaran

Since Specialization
Citations

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

Fields of papers citing papers by Krishnan Sankaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishnan Sankaran

This figure shows the co-authorship network connecting the top 25 collaborators of Krishnan Sankaran. A scholar is included among the top collaborators of Krishnan Sankaran 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 Krishnan Sankaran. Krishnan Sankaran 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
1.
Hochberg, Jessica, Qiuhu Shi, Yaya Chu, et al.. (2024). Defibrotide Reduces Hypercoagulable State in Patients with Sickle Cell Disease-Related Acute Chest Syndrome (IND 127812). Blood. 144(Supplement 1). 2515–2515. 1 indexed citations
2.
Sankaran, Krishnan, et al.. (2019). Evidence to Suggest Bacterial Lipoprotein Diacylglyceryl Transferase (Lgt) is a Weakly Associated Inner Membrane Protein. The Journal of Membrane Biology. 252(6). 563–575. 1 indexed citations
3.
Sankaran, Krishnan, et al.. (2019). Active sulfite oxidase domain of Salmonella enterica pathogenic protein small intestine invasive factor E (SiiE): a potential diagnostic target. Applied Microbiology and Biotechnology. 103(14). 5679–5688. 3 indexed citations
4.
Sankaran, Krishnan, et al.. (2018). Bacterial Lipid Modification of ICP11 and a New ELISA System Applicable for WSSV Infection Detection. Marine Biotechnology. 20(3). 375–384. 9 indexed citations
5.
Sankaran, Krishnan, et al.. (2018). 13-Docosenamide release by bacteria in response to glucose during growth—fluorescein quenching and clinical application. Applied Microbiology and Biotechnology. 102(15). 6673–6685. 18 indexed citations
6.
Mao, Guotao, Yan Zhao, Zhijie Li, et al.. (2016). Crystal structure of E. coli lipoprotein diacylglyceryl transferase. Nature Communications. 7(1). 10198–10198. 74 indexed citations
7.
8.
9.
Praekelt, Uta, Rolf Reissbrodt, Andreas U. Kresse, et al.. (2014). Monoclonal antibodies against all known variants of EspA: development of a simple diagnostic test for enteropathogenic Escherichia coli based on a key virulence factor. Journal of Medical Microbiology. 63(12). 1595–1607. 3 indexed citations
10.
Sankaran, Krishnan, et al.. (2012). High-Throughput Fluorescence-Based Early Antibiogram Determination Using Clinical Escherichia coli Isolates as Case Study. Microbial Drug Resistance. 18(6). 586–596. 4 indexed citations
11.
Parameswaran, M., et al.. (2012). Resazurin reduction based colorimetric antibiogram in microfluidic plastic chip. Sensors and Actuators B Chemical. 176. 174–180. 35 indexed citations
12.
Prakash, Anand, et al.. (2010). Twin arginine translocase pathway and fast-folding lipoprotein biosynthesis in E. coli : interesting implications and applications. Molecular BioSystems. 6(6). 999–1007. 22 indexed citations
13.
Sankaran, Krishnan, et al.. (2009). Apyrase-based colorimetric test for detection of Shigella and enteroinvasive Escherichia coli in stool. Diagnostic Microbiology and Infectious Disease. 63(3). 243–250. 7 indexed citations
14.
Sankaran, Krishnan, et al.. (2008). The Need and New Tools for Surveillance of Escherichia coli Pathogens. SHILAP Revista de lepidopterología. 5 indexed citations
15.
Sankaran, Krishnan, et al.. (2008). Localization and characterization of prolipoprotein diacylglyceryl transferase (Lgt) critical in bacterial lipoprotein biosynthesis. Biochimie. 90(11-12). 1647–1655. 20 indexed citations
16.
Rick, P D, Kathleen Barr, Krishnan Sankaran, et al.. (2003). Evidence That the wzxE Gene of Escherichia coli K-12 Encodes a Protein Involved in the Transbilayer Movement of a Trisaccharide-Lipid Intermediate in the Assembly of Enterobacterial Common Antigen. Journal of Biological Chemistry. 278(19). 16534–16542. 90 indexed citations
17.
18.
Sankaran, Krishnan, et al.. (1997). Detection of virulentShigellaand enteroinvasiveEscherichia coliby induction of the 43 kDa invasion plasmid antigen, ipaC. FEMS Immunology & Medical Microbiology. 17(2). 73–78. 4 indexed citations
19.
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
20.
Sankaran, Krishnan & Henry C. Wu. (1995). [12] Bacterial prolipoprotein signal peptidase. Methods in enzymology on CD-ROM/Methods in enzymology. 248. 169–180. 27 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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