Mark P. Keller

7.3k total citations · 1 hit paper
112 papers, 4.5k citations indexed

About

Mark P. Keller is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Mark P. Keller has authored 112 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 29 papers in Surgery and 27 papers in Genetics. Recurrent topics in Mark P. Keller's work include Pancreatic function and diabetes (27 papers), Metabolism, Diabetes, and Cancer (17 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Mark P. Keller is often cited by papers focused on Pancreatic function and diabetes (27 papers), Metabolism, Diabetes, and Cancer (17 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Mark P. Keller collaborates with scholars based in United States, United Kingdom and Canada. Mark P. Keller's co-authors include Alan Attie, Mary E. Rabaglia, Brian S. Yandell, Kathryn L. Schueler, Donald S. Stapleton, Christina Kendziorski, Federico E. Rey, Elias Chaibub Neto, Eugenio I. Vivas and Kimberly A. Krautkramer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Mark P. Keller

105 papers receiving 4.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diet-Microbiota Interactions Mediate Global Epigenetic Programming in Multiple Host Tissues

2016 397 citations Mary E. Rabaglia, Mark P. Keller et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark P. Keller United States	37	2.5k	932	854	708	667	112	4.5k
Thomas Jansson United States	64	2.2k 0.9×	1.0k 1.1×	662 0.8×	929 1.3×	648 1.0×	229	11.6k
Uta Ceglarek Germany	42	2.1k 0.8×	871 0.9×	708 0.8×	400 0.6×	510 0.8×	200	5.3k
Nichole Reisdorph United States	39	2.0k 0.8×	916 1.0×	587 0.7×	859 1.2×	400 0.6×	140	5.1k
Gunnar Mellgren Norway	38	2.2k 0.9×	1.3k 1.4×	515 0.6×	1.3k 1.8×	619 0.9×	164	5.2k
Miguel Cruz Mexico	35	1.6k 0.6×	766 0.8×	461 0.5×	848 1.2×	741 1.1×	219	4.2k
Gerard T. Berry United States	48	3.1k 1.2×	1.1k 1.2×	662 0.8×	984 1.4×	309 0.5×	213	7.1k
Damjana Rozman Slovenia	40	2.0k 0.8×	437 0.5×	1.1k 1.3×	456 0.6×	616 0.9×	154	4.7k
Li Liu China	34	1.8k 0.7×	1.3k 1.4×	512 0.6×	589 0.8×	524 0.8×	264	5.4k
Laurence D. Parnell United States	44	2.2k 0.9×	1.3k 1.4×	612 0.7×	1.3k 1.8×	482 0.7×	146	5.6k
Harald Grallert Germany	33	2.0k 0.8×	852 0.9×	543 0.6×	1.2k 1.7×	487 0.7×	133	4.0k

Countries citing papers authored by Mark P. Keller

Since Specialization

Citations

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

Fields of papers citing papers by Mark P. Keller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark P. Keller

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lomont, Justin P., et al.. (2026). Mammals that can develop type 2 diabetes have a similarly structured β-sheet amyloid oligomer. Proceedings of the National Academy of Sciences. 123(5). e2530570123–e2530570123.

Pan, Calvin, et al.. (2025). Systems genetics uncovers associations among host amylase locus, gut microbiome, and metabolic traits in mice. Microbiome. 13(1). 101–101.

Stapleton, Donnie S., Kathryn L. Schueler, Brian W. Parks, et al.. (2023). Lipidomic QTL in Diversity Outbred mice identifies a novel function for α/β hydrolase domain 2 (Abhd2) as an enzyme that metabolizes phosphatidylcholine and cardiolipin. PLoS Genetics. 19(7). e1010713–e1010713. 4 indexed citations

Emfinger, Christopher H., Kathryn L. Schueler, Sarah M. King, et al.. (2023). Identification of genetic drivers of plasma lipoprotein size in the Diversity Outbred mouse population. Journal of Lipid Research. 64(12). 100471–100471. 2 indexed citations

Marino, Giacomo B., Zhuorui Xie, Kathleen M. Jagodnik, et al.. (2023). D2H2: diabetes data and hypothesis hub. Bioinformatics Advances. 3(1). vbad178–vbad178. 2 indexed citations

Keller, Mark P., Kathryn L. Schueler, Donnie S. Stapleton, et al.. (2023). An Enhancer Within Abcb11 Regulates G6pc2 in C57BL/6 Mouse Pancreatic Islets. Diabetes. 72(11). 1621–1628.

Yu, Qing, Xinyue Liu, Mark P. Keller, et al.. (2023). Sample multiplexing-based targeted pathway proteomics with real-time analytics reveals the impact of genetic variation on protein expression. Nature Communications. 14(1). 555–555. 20 indexed citations

Niemi, Natalie M., Lia R. Serrano, Laura K. Muehlbauer, et al.. (2023). PPTC7 maintains mitochondrial protein content by suppressing receptor-mediated mitophagy. Nature Communications. 14(1). 6431–6431. 18 indexed citations

Vincent, Matthew, Gregory R. Keele, Daniel M. Gatti, et al.. (2022). QTLViewer: an interactive webtool for genetic analysis in the Collaborative Cross and Diversity Outbred mouse populations. G3 Genes Genomes Genetics. 12(8). 9 indexed citations

10.

Traeger, Lindsay L., et al.. (2021). Identification of sample mix-ups and mixtures in microbiome data in Diversity Outbred mice. G3 Genes Genomes Genetics. 11(11). 1 indexed citations

11.

Yau, Belinda, Alexis Díaz‐Vegas, Elise J. Needham, et al.. (2021). Proteomic pathways to metabolic disease and type 2 diabetes in the pancreatic islet. iScience. 24(10). 103099–103099. 11 indexed citations

12.

Attie, Alan, Mark P. Keller, Kelly A. Mitok, et al.. (2021). Reversal of hypertriglyceridemia in diabetic BTBR ob/ob mice does not prevent nephropathy. Laboratory Investigation. 101(7). 935–941. 12 indexed citations

13.

Linke, Vanessa, Katherine A. Overmyer, Ian Miller, et al.. (2020). A large-scale genome–lipid association map guides lipid identification. Nature Metabolism. 2(10). 1149–1162. 34 indexed citations

14.

Xie, Haibo, Ka Yang, Gabrielle Winston‐McPherson, et al.. (2020). From methylene bridged diindole to carbonyl linked benzimidazoleindole: Development of potent and metabolically stable PCSK9 modulators. European Journal of Medicinal Chemistry. 206. 112678–112678. 6 indexed citations

15.

Alexander, Laura M., Meichen Pan, Kathryn L. Schueler, et al.. (2019). Dietary Fructose and Microbiota-Derived Short-Chain Fatty Acids Promote Bacteriophage Production in the Gut Symbiont Lactobacillus reuteri. Cell Host & Microbe. 25(2). 273–284.e6. 146 indexed citations

16.

Ye, Risheng, Ruth Gordillo, Mengle Shao, et al.. (2018). Intracellular lipid metabolism impairs β cell compensation during diet-induced obesity. Journal of Clinical Investigation. 128(3). 1178–1189. 33 indexed citations

17.

Lin, Jianguo, Shizhong Zheng, Alan Attie, et al.. (2018). Perilipin 5 and liver fatty acid binding protein function to restore quiescence in mouse hepatic stellate cells. Journal of Lipid Research. 59(3). 416–428. 18 indexed citations

18.

Keller, Mark P., Angie T. Oler, Mary E. Rabaglia, et al.. (2015). Identification of the Bile Acid Transporter Slco1a6 as a Candidate Gene That Broadly Affects Gene Expression in Mouse Pancreatic Islets. Genetics. 201(3). 1253–1262. 16 indexed citations

19.

Stapleton, Donald S., Kathryn L. Schueler, Mary E. Rabaglia, et al.. (2012). Tsc2, a positional candidate gene underlying a quantitative trait locus for hepatic steatosis. Journal of Lipid Research. 53(8). 1493–1501. 10 indexed citations

20.

Ferrara, Christine T., Ping Wang, Elias Chaibub Neto, et al.. (2008). Correction: Genetic Networks of Liver Metabolism Revealed by Integration of Metabolic and Transcriptional Profiling. PLoS Genetics. 4(7). 14 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.

Explore authors with similar magnitude of impact