Kimberly Roche

565 total citations
11 papers, 240 citations indexed

About

Kimberly Roche is a scholar working on Molecular Biology, Infectious Diseases and Physiology. According to data from OpenAlex, Kimberly Roche has authored 11 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Physiology. Recurrent topics in Kimberly Roche's work include Gut microbiota and health (4 papers), Gene expression and cancer classification (3 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Kimberly Roche is often cited by papers focused on Gut microbiota and health (4 papers), Gene expression and cancer classification (3 papers) and Clostridium difficile and Clostridium perfringens research (2 papers). Kimberly Roche collaborates with scholars based in United States, Germany and Canada. Kimberly Roche's co-authors include Sayan Mukherjee, Justin D. Silverman, Lawrence A. David, F. Alex Feltus, William L. Poehlman, Christopher Watson, Stephen Ficklin, John Harer, Norman C. Waters and Bree Cummins and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kimberly Roche

10 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimberly Roche United States 9 145 35 28 24 17 11 240
E. V. Ignatieva Russia 11 226 1.6× 45 1.3× 9 0.3× 34 1.4× 18 1.1× 46 412
Katherine Cumnock United States 7 83 0.6× 110 3.1× 39 1.4× 5 0.2× 17 1.0× 8 360
Núria Casas-Vila Germany 9 200 1.4× 75 2.1× 4 0.1× 21 0.9× 20 1.2× 11 317
John W. Breneman United States 12 256 1.8× 63 1.8× 6 0.2× 98 4.1× 14 0.8× 18 460
Ali Akbari United States 11 139 1.0× 48 1.4× 31 1.1× 50 2.1× 11 0.6× 19 391
Heesun Shin Canada 11 228 1.6× 7 0.2× 7 0.3× 56 2.3× 13 0.8× 18 395
Damien Nicolas Switzerland 7 322 2.2× 17 0.5× 68 2.4× 8 0.3× 3 0.2× 7 446
Tengfei Lian United States 10 240 1.7× 38 1.1× 4 0.1× 17 0.7× 3 0.2× 14 435
Maria Litovchenko Switzerland 10 83 0.6× 8 0.2× 20 0.7× 11 0.5× 6 0.4× 14 215

Countries citing papers authored by Kimberly Roche

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Roche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Roche

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

All Works

11 of 11 papers shown
1.
Dasari, Mauna, Kimberly Roche, David Jansen, et al.. (2025). Social and environmental predictors of gut microbiome age in wild baboons. eLife. 13. 1 indexed citations
2.
Dasari, Mauna, Kimberly Roche, David Jansen, et al.. (2024). Social and environmental predictors of gut microbiome age in wild baboons. eLife. 13.
3.
Roche, Kimberly, Johannes R. Björk, Mauna Dasari, et al.. (2023). Universal gut microbial relationships in the gut microbiome of wild baboons. eLife. 12. 12 indexed citations
4.
Berchuck, Samuel I., et al.. (2023). Identifying Risk Factors for Blindness From Glaucoma at First Presentation to a Tertiary Clinic. American Journal of Ophthalmology. 250. 130–137. 8 indexed citations
5.
Roche, Kimberly & Sayan Mukherjee. (2022). The accuracy of absolute differential abundance analysis from relative count data. PLoS Computational Biology. 18(7). e1010284–e1010284. 15 indexed citations
6.
Bornbusch, Sally L., et al.. (2021). Antibiotics and fecal transfaunation differentially affect microbiota recovery, associations, and antibiotic resistance in lemur guts. SHILAP Revista de lepidopterología. 3(1). 65–65. 13 indexed citations
7.
Silverman, Justin D., Kimberly Roche, Sayan Mukherjee, & Lawrence A. David. (2020). Naught all zeros in sequence count data are the same. Computational and Structural Biotechnology Journal. 18. 2789–2798. 79 indexed citations
8.
Motta, Francis C., J. Kathleen Moch, Robert R. Nerem, et al.. (2020). An intrinsic oscillator drives the blood stage cycle of the malaria parasite Plasmodium falciparum. Science. 368(6492). 754–759. 59 indexed citations
9.
Roche, Kimberly, et al.. (2018). Sorting Five Human Tumor Types Reveals Specific Biomarkers and Background Classification Genes. Scientific Reports. 8(1). 8180–8180. 9 indexed citations
10.
Ficklin, Stephen, et al.. (2017). Discovering Condition-Specific Gene Co-Expression Patterns Using Gaussian Mixture Models: A Cancer Case Study. Scientific Reports. 7(1). 8617–8617. 36 indexed citations
11.
Roche, Kimberly, F. Alex Feltus, Marie‐May Coissieux, et al.. (2017). Cancer cell redirection biomarker discovery using a mutual information approach. PLoS ONE. 12(6). e0179265–e0179265. 8 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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