Jesse D. McCool

665 total citations
8 papers, 523 citations indexed

About

Jesse D. McCool is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Jesse D. McCool has authored 8 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Biomedical Engineering. Recurrent topics in Jesse D. McCool's work include Bacterial Genetics and Biotechnology (5 papers), DNA Repair Mechanisms (4 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Jesse D. McCool is often cited by papers focused on Bacterial Genetics and Biotechnology (5 papers), DNA Repair Mechanisms (4 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Jesse D. McCool collaborates with scholars based in United States and Germany. Jesse D. McCool's co-authors include Steven J. Sandler, Joseph F. Petrosino, Susan M. Rosenberg, Hilary A. Sandler, Edward R. Long, Gavin C. Barnard, David W. Wood, Tillman U. Gerngross, Vineet Rajgarhia and D. Aaron Argyros and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology and Genetics.

In The Last Decade

Jesse D. McCool

8 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jesse D. McCool United States 7 426 233 126 43 39 8 523
Stéphanie Champ France 12 454 1.1× 97 0.4× 126 1.0× 71 1.7× 27 0.7× 15 756
Ryosuke Kadoya Japan 11 399 0.9× 294 1.3× 73 0.6× 114 2.7× 95 2.4× 17 543
Xiangli Zhang China 10 210 0.5× 44 0.2× 83 0.7× 47 1.1× 36 0.9× 17 366
Zhe Zhao China 11 299 0.7× 75 0.3× 145 1.2× 35 0.8× 15 0.4× 17 469
Lothar Jaensch Germany 6 206 0.5× 83 0.4× 25 0.2× 52 1.2× 14 0.4× 6 327
Joost Teixeira de Mattos Netherlands 7 372 0.9× 146 0.6× 50 0.4× 46 1.1× 6 0.2× 7 507
Liat Bahari Israel 6 250 0.6× 146 0.6× 171 1.4× 70 1.6× 38 1.0× 11 388
Chaoyou Xue United States 19 906 2.1× 167 0.7× 75 0.6× 51 1.2× 6 0.2× 30 1.0k
Xuewen Cui China 8 161 0.4× 125 0.5× 42 0.3× 47 1.1× 11 0.3× 21 355
Chenggang Xu China 13 323 0.8× 42 0.2× 163 1.3× 17 0.4× 15 0.4× 36 421

Countries citing papers authored by Jesse D. McCool

Since Specialization
Citations

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

Fields of papers citing papers by Jesse D. McCool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse D. McCool. 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 Jesse D. McCool. The network helps show where Jesse D. McCool may publish in the future.

Co-authorship network of co-authors of Jesse D. McCool

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

All Works

8 of 8 papers shown
1.
Agbogbo, Frank K., et al.. (2020). Upstream development ofEscherichia colifermentation process withPhoApromoter using design of experiments (DoE). Journal of Industrial Microbiology & Biotechnology. 47(9-10). 789–799. 5 indexed citations
2.
Agbogbo, Frank K., Allison J. Farrand, Kevin Han, et al.. (2019). Current perspectives on biosimilars. Journal of Industrial Microbiology & Biotechnology. 46(9-10). 1297–1311. 29 indexed citations
3.
Tripathi, Shital A., Daniel G. Olson, D. Aaron Argyros, et al.. (2010). Development of pyrF- Based Genetic System for Targeted Gene Deletion in Clostridium thermocellum and Creation of a pta Mutant. Applied and Environmental Microbiology. 76(19). 6591–6599. 156 indexed citations
4.
Barnard, Gavin C., Jesse D. McCool, David W. Wood, & Tillman U. Gerngross. (2005). Integrated Recombinant Protein Expression and Purification Platform Based on Ralstonia eutropha. Applied and Environmental Microbiology. 71(10). 5735–5742. 54 indexed citations
5.
McCool, Jesse D., Christopher C. Ford, & Steven J. Sandler. (2004). A dnaT Mutant With Phenotypes Similar to Those of a priA2::kan Mutant in Escherichia coli K-12. Genetics. 167(2). 569–578. 35 indexed citations
6.
McCool, Jesse D., Edward R. Long, Joseph F. Petrosino, et al.. (2004). Measurement of SOS expression in individual Escherichia coli K‐12 cells using fluorescence microscopy. Molecular Microbiology. 53(5). 1343–1357. 145 indexed citations
7.
Sandler, Steven J., et al.. (2001). PriA mutations that affect PriA–PriC function during replication restart. Molecular Microbiology. 41(3). 697–704. 50 indexed citations
8.
McCool, Jesse D. & Steven J. Sandler. (2001). Effects of mutations involving cell division, recombination, and chromosome dimer resolution on a priA2kan mutant. Proceedings of the National Academy of Sciences. 98(15). 8203–8210. 49 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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