Kamakshi Sureka

1.1k total citations
10 papers, 732 citations indexed

About

Kamakshi Sureka is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Kamakshi Sureka has authored 10 papers receiving a total of 732 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Kamakshi Sureka's work include Tuberculosis Research and Epidemiology (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Antibiotic Resistance in Bacteria (3 papers). Kamakshi Sureka is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Antibiotic Resistance in Bacteria (3 papers). Kamakshi Sureka collaborates with scholars based in India, United States and France. Kamakshi Sureka's co-authors include Manikuntala Kundu, Joyoti Basu, Joshua J. Woodward, Philip H. Choi, Liang Tong, Amitava Dasgupta, Partha P. Mukherjee, Subhasis Barik, Pratik Datta and Sébastien Rodrigue and has published in prestigious journals such as Cell, PLoS ONE and Molecular Microbiology.

In The Last Decade

Kamakshi Sureka

10 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamakshi Sureka India 9 418 276 214 209 96 10 732
Pratik Datta United States 12 346 0.8× 369 1.3× 315 1.5× 199 1.0× 115 1.2× 18 689
John L. Dahl United States 16 412 1.0× 533 1.9× 559 2.6× 223 1.1× 144 1.5× 26 964
Vijay Parashar United States 13 566 1.4× 148 0.5× 68 0.3× 189 0.9× 71 0.7× 27 753
A.B. Schryvers Canada 12 339 0.8× 104 0.4× 108 0.5× 260 1.2× 70 0.7× 13 883
Agnese Serafini Italy 13 358 0.9× 421 1.5× 317 1.5× 120 0.6× 108 1.1× 22 759
Valérie Prouzet‐Mauleon France 18 597 1.4× 195 0.7× 78 0.4× 106 0.5× 59 0.6× 41 1.1k
Adam Giess United Kingdom 15 421 1.0× 89 0.3× 120 0.6× 94 0.4× 422 4.4× 18 909
Usheer Kanjee United States 16 522 1.2× 62 0.2× 59 0.3× 276 1.3× 53 0.6× 29 1.1k
Maurine D. Miner United States 11 413 1.0× 217 0.8× 134 0.6× 54 0.3× 38 0.4× 13 916
Elizabeth A. Creasey United States 15 358 0.9× 159 0.6× 88 0.4× 269 1.3× 68 0.7× 19 995

Countries citing papers authored by Kamakshi Sureka

Since Specialization
Citations

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

Fields of papers citing papers by Kamakshi Sureka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamakshi Sureka

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

All Works

10 of 10 papers shown
1.
Sureka, Kamakshi, et al.. (2021). Spike protein mutational landscape in India during the complete lockdown phase: Could Muller's ratchet be a future game-changer for COVID-19?. Infection Genetics and Evolution. 92. 104874–104874. 2 indexed citations
2.
Choi, Philip H., et al.. (2016). Cyclic di‐AMP targets the cystathionine beta‐synthase domain of the osmolyte transporter OpuC. Molecular Microbiology. 102(2). 233–243. 80 indexed citations
3.
Choi, Philip H., Kamakshi Sureka, Joshua J. Woodward, & Liang Tong. (2015). Molecular basis for the recognition of cyclic‐di‐AMP by PstA, a PII‐like signal transduction protein. MicrobiologyOpen. 4(3). 361–374. 41 indexed citations
4.
Sureka, Kamakshi, Philip H. Choi, Mimi R. Precit, et al.. (2014). The Cyclic Dinucleotide c-di-AMP Is an Allosteric Regulator of Metabolic Enzyme Function. Cell. 158(6). 1389–1401. 164 indexed citations
5.
Dasgupta, Amitava, Kamakshi Sureka, Devrani Mitra, et al.. (2010). An Oligopeptide Transporter of Mycobacterium tuberculosis Regulates Cytokine Release and Apoptosis of Infected Macrophages. PLoS ONE. 5(8). e12225–e12225. 44 indexed citations
6.
Barik, Subhasis, Kamakshi Sureka, Partha P. Mukherjee, Joyoti Basu, & Manikuntala Kundu. (2009). RseA, the SigE specific anti‐sigma factor of Mycobacterium tuberculosis, is inactivated by phosphorylation‐dependent ClpC1P2 proteolysis. Molecular Microbiology. 75(3). 592–606. 85 indexed citations
7.
Mukherjee, Partha P., Kamakshi Sureka, Pratik Datta, et al.. (2009). Novel role of Wag31 in protection of mycobacteria under oxidative stress. Molecular Microbiology. 73(1). 103–119. 68 indexed citations
8.
Sureka, Kamakshi, et al.. (2009). Polyphosphate kinase 2: a modulator of nucleoside diphosphate kinase activity in mycobacteria. Molecular Microbiology. 74(5). 1187–1197. 43 indexed citations
9.
Sureka, Kamakshi, Bhaswar Ghosh, Amitava Dasgupta, et al.. (2008). Positive Feedback and Noise Activate the Stringent Response Regulator Rel in Mycobacteria. PLoS ONE. 3(3). e1771–e1771. 87 indexed citations
10.
Sureka, Kamakshi, Pratik Datta, Anil Kumar Singh, et al.. (2007). Polyphosphate kinase is involved in stress‐induced mprAB‐sigE‐rel signalling in mycobacteria. Molecular Microbiology. 65(2). 261–276. 118 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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