Anu Chakicherla

18 total papers · 1.2k total citations
11 papers, 840 citations indexed

About

Anu Chakicherla is a scholar working on Molecular Biology, Pollution and Ecology. According to data from OpenAlex, Anu Chakicherla has authored 11 papers receiving a total of 840 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Pollution and 3 papers in Ecology. Recurrent topics in Anu Chakicherla's work include Microbial bioremediation and biosurfactants (3 papers), Probiotics and Fermented Foods (2 papers) and Bacteriophages and microbial interactions (2 papers). Anu Chakicherla is often cited by papers focused on Microbial bioremediation and biosurfactants (3 papers), Probiotics and Fermented Foods (2 papers) and Bacteriophages and microbial interactions (2 papers). Anu Chakicherla collaborates with scholars based in United States and United Kingdom. Anu Chakicherla's co-authors include J N Hansen, Sun H. Paik, Harry R. Beller, Tracy E. Letain, Patrick Chain, Matthew A. Coleman, Paul M. Richardson, Frank W. Larimer, Tina C. Legler and Staci R. Kane and has published in prestigious journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Journal of Bacteriology.

In The Last Decade

Anu Chakicherla

10 papers receiving 812 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anu Chakicherla 341 289 274 143 123 11 840
DP Kelly 355 1.0× 158 0.5× 344 1.3× 90 0.6× 141 1.1× 19 1.0k
Karen De Roy 429 1.3× 212 0.7× 351 1.3× 82 0.6× 95 0.8× 12 993
Dandan Zheng 287 0.8× 334 1.2× 274 1.0× 76 0.5× 131 1.1× 18 835
W.M. de Vos 480 1.4× 212 0.7× 168 0.6× 76 0.5× 75 0.6× 10 874
Darlene Wagner 277 0.8× 397 1.4× 469 1.7× 154 1.1× 125 1.0× 21 1.0k
Christine Yeates 372 1.1× 441 1.5× 448 1.6× 186 1.3× 57 0.5× 9 991
F. Fayolle 453 1.3× 417 1.4× 166 0.6× 72 0.5× 148 1.2× 20 1.0k
Pierre Thomas 486 1.4× 230 0.8× 371 1.4× 90 0.6× 206 1.7× 20 1.0k
Akiko Ohashi 310 0.9× 240 0.8× 243 0.9× 111 0.8× 81 0.7× 25 915
Patricia Geesink 433 1.3× 169 0.6× 484 1.8× 56 0.4× 136 1.1× 14 908

Countries citing papers authored by Anu Chakicherla

Since Specialization
Citations

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

Fields of papers citing papers by Anu Chakicherla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anu Chakicherla

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

All Works

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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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