Edward Kazyanskaya

573 total citations
7 papers, 468 citations indexed

About

Edward Kazyanskaya is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Edward Kazyanskaya has authored 7 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Organic Chemistry. Recurrent topics in Edward Kazyanskaya's work include Tuberculosis Research and Epidemiology (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Cancer therapeutics and mechanisms (2 papers). Edward Kazyanskaya is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Antibiotic Resistance in Bacteria (3 papers) and Cancer therapeutics and mechanisms (2 papers). Edward Kazyanskaya collaborates with scholars based in United States and China. Edward Kazyanskaya's co-authors include Deborah T. Hung, Sarah A. Stanley, Tomohiko Kawate, Noriaki Iwase, Motohisa Shimizu, Sarah Schmidt Grant, Melanie R. Silvis, Michael G. FitzGerald, Aaron Golas and Carl N. Wivagg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Organic Letters and Tetrahedron Letters.

In The Last Decade

Edward Kazyanskaya

7 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward Kazyanskaya United States 6 323 283 176 120 47 7 468
Noriaki Iwase Japan 6 266 0.8× 257 0.9× 140 0.8× 113 0.9× 40 0.9× 10 417
O. B. Ryabova Russia 8 329 1.0× 329 1.2× 149 0.8× 148 1.2× 50 1.1× 17 537
Michael Goodwin United States 10 366 1.1× 290 1.0× 210 1.2× 153 1.3× 37 0.8× 14 579
Jan Madacki France 11 288 0.9× 210 0.7× 186 1.1× 165 1.4× 41 0.9× 14 486
Motohisa Shimizu Japan 5 232 0.7× 234 0.8× 118 0.7× 106 0.9× 36 0.8× 7 386
David Barros-Aguirre Spain 13 253 0.8× 194 0.7× 165 0.9× 102 0.8× 25 0.5× 19 410
Anne Drumond Villela Brazil 14 260 0.8× 244 0.9× 142 0.8× 128 1.1× 37 0.8× 32 453
Mai A. Bailey United States 13 289 0.9× 264 0.9× 149 0.8× 258 2.1× 41 0.9× 19 541
Torey Alling United States 13 289 0.9× 265 0.9× 156 0.9× 257 2.1× 36 0.8× 18 550
Suresh Solapure India 11 241 0.7× 223 0.8× 142 0.8× 61 0.5× 31 0.7× 13 388

Countries citing papers authored by Edward Kazyanskaya

Since Specialization
Citations

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

Fields of papers citing papers by Edward Kazyanskaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Kazyanskaya

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

All Works

7 of 7 papers shown
1.
Grant, Sarah Schmidt, Samantha Wellington, Tomohiko Kawate, et al.. (2016). Baeyer-Villiger Monooxygenases EthA and MymA Are Required for Activation of Replicating and Non-replicating Mycobacterium tuberculosis Inhibitors. Cell chemical biology. 23(6). 666–677. 39 indexed citations
2.
Kawate, Tomohiko, Noriaki Iwase, Motohisa Shimizu, et al.. (2013). Synthesis and structure–activity relationships of phenyl-substituted coumarins with anti-tubercular activity that target FadD32. Bioorganic & Medicinal Chemistry Letters. 23(22). 6052–6059. 53 indexed citations
3.
Stanley, Sarah A., Tomohiko Kawate, Noriaki Iwase, et al.. (2013). Diarylcoumarins inhibit mycolic acid biosynthesis and kill Mycobacterium tuberculosis by targeting FadD32. Proceedings of the National Academy of Sciences. 110(28). 11565–11570. 80 indexed citations
4.
Grant, Sarah Schmidt, Tomohiko Kawate, Partha P. Nag, et al.. (2013). Identification of Novel Inhibitors of Nonreplicating Mycobacterium tuberculosis Using a Carbon Starvation Model. ACS Chemical Biology. 8(10). 2224–2234. 66 indexed citations
5.
Stanley, Sarah A., Sarah Schmidt Grant, Tomohiko Kawate, et al.. (2012). Identification of Novel Inhibitors of M. tuberculosis Growth Using Whole Cell Based High-Throughput Screening. ACS Chemical Biology. 7(8). 1377–1384. 214 indexed citations
6.
McMahon, Travis C., Sarah A. Stanley, Edward Kazyanskaya, Deborah T. Hung, & John L. Wood. (2012). The First Synthesis of an Epidiselenodiketopiperazine. Organic Letters. 14(17). 4534–4536. 5 indexed citations
7.
McMahon, Travis C., Sarah A. Stanley, Edward Kazyanskaya, Deborah T. Hung, & John L. Wood. (2011). A scaleable formal total synthesis of dehydrogliotoxin. Tetrahedron Letters. 52(17). 2262–2264. 11 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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