Monica P. McNerney

17 total papers · 530 total citations
12 papers, 386 citations indexed

About

Monica P. McNerney is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, Monica P. McNerney has authored 12 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Biotechnology. Recurrent topics in Monica P. McNerney's work include CRISPR and Genetic Engineering (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Monica P. McNerney is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Advanced biosensing and bioanalysis techniques (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Monica P. McNerney collaborates with scholars based in United States. Monica P. McNerney's co-authors include Mark P. Styczynski, Yan Zhang, Timothy Z. Chang, Tai L. Ng, Pamela A. Silver, Michael C. Jewett, Adam D. Silverman, Ge-Ah Kim, Shuichi Takayama and Taisuke Kojima and has published in prestigious journals such as Nature Communications, Nature Reviews Genetics and Science Advances.

In The Last Decade

Monica P. McNerney

12 papers receiving 384 citations

Author Peers

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

Author Last Decade Papers Cites
Monica P. McNerney 313 99 51 49 29 12 386
Inhae Kim 366 1.2× 62 0.6× 76 1.5× 19 0.4× 18 0.6× 15 431
Kristen M. Wilding 343 1.1× 73 0.7× 42 0.8× 64 1.3× 54 1.9× 16 428
Katrin Messerschmidt 345 1.1× 77 0.8× 30 0.6× 26 0.5× 13 0.4× 19 399
Przemysław Dutka 172 0.5× 95 1.0× 49 1.0× 28 0.6× 28 1.0× 18 344
Vera Svensson 256 0.8× 26 0.3× 49 1.0× 60 1.2× 45 1.6× 8 338
Taylor H. Nguyen 347 1.1× 39 0.4× 49 1.0× 16 0.3× 38 1.3× 15 428
Antonín Kunka 315 1.0× 57 0.6× 25 0.5× 37 0.8× 26 0.9× 19 411
Alan Gilbert 335 1.1× 94 0.9× 26 0.5× 30 0.6× 6 0.2× 18 436
A. P. G. M. van Loon 286 0.9× 51 0.5× 44 0.9× 31 0.6× 11 0.4× 11 366
Arno Germond 194 0.6× 69 0.7× 30 0.6× 16 0.3× 34 1.2× 23 389

Countries citing papers authored by Monica P. McNerney

Since Specialization
Citations

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

Fields of papers citing papers by Monica P. McNerney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica P. McNerney. 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 Monica P. McNerney. The network helps show where Monica P. McNerney may publish in the future.

Co-authorship network of co-authors of Monica P. McNerney

This figure shows the co-authorship network connecting the top 25 collaborators of Monica P. McNerney. A scholar is included among the top collaborators of Monica P. McNerney 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 Monica P. McNerney. Monica P. McNerney 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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