Ran Blekhman

13.1k total citations · 4 hit papers
68 papers, 6.5k citations indexed

About

Ran Blekhman is a scholar working on Molecular Biology, Physiology and Infectious Diseases. According to data from OpenAlex, Ran Blekhman has authored 68 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 15 papers in Physiology and 13 papers in Infectious Diseases. Recurrent topics in Ran Blekhman's work include Gut microbiota and health (44 papers), Diet and metabolism studies (14 papers) and Clostridium difficile and Clostridium perfringens research (12 papers). Ran Blekhman is often cited by papers focused on Gut microbiota and health (44 papers), Diet and metabolism studies (14 papers) and Clostridium difficile and Clostridium perfringens research (12 papers). Ran Blekhman collaborates with scholars based in United States, Canada and Czechia. Ran Blekhman's co-authors include Andrew G. Clark, Jordana T. Bell, Julia K. Goodrich, Timothy D. Spector, Ruth E. Ley, Rob Knight, William Van Treuren, Jessica L. Sutter, Michelle Beaumont and Angela C. Poole and has published in prestigious journals such as Cell, Nature Communications and Gastroenterology.

In The Last Decade

Ran Blekhman

65 papers receiving 6.4k citations

Hit Papers

Human Genetics Shape the Gut Microbiome 2014 2026 2018 2022 2014 2015 2015 2025 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ran Blekhman United States 34 4.8k 1.2k 1.1k 1.1k 523 68 6.5k
Timothy D. Spector United Kingdom 29 3.9k 0.8× 1.2k 1.0× 908 0.9× 692 0.7× 366 0.7× 39 6.2k
Timothy L. Tickle United States 14 3.9k 0.8× 850 0.7× 783 0.7× 967 0.9× 610 1.2× 21 5.3k
Marco Severgnini Italy 39 4.3k 0.9× 1.3k 1.1× 601 0.6× 975 0.9× 841 1.6× 107 6.3k
Alexander V. Alekseyenko United States 33 4.8k 1.0× 1.3k 1.1× 930 0.9× 1.2k 1.1× 500 1.0× 101 8.4k
Ilseung Cho United States 15 3.9k 0.8× 1.2k 1.0× 518 0.5× 1.1k 1.0× 550 1.1× 29 5.8k
Raúl Y. Tito United States 29 3.6k 0.8× 1.2k 1.0× 607 0.6× 821 0.8× 512 1.0× 52 5.3k
Ron Sender Israel 9 3.6k 0.8× 1.1k 0.9× 445 0.4× 981 0.9× 571 1.1× 10 5.4k
Felix Sommer Germany 21 3.8k 0.8× 1.2k 1.0× 536 0.5× 933 0.9× 657 1.3× 40 5.8k
Gianluca De Bellis Italy 38 4.3k 0.9× 741 0.6× 1.1k 1.1× 517 0.5× 590 1.1× 149 6.5k

Countries citing papers authored by Ran Blekhman

Since Specialization
Citations

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

Fields of papers citing papers by Ran Blekhman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Blekhman

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

All Works

20 of 20 papers shown
1.
Abdill, Richard J., Vincent Rubinetti, Daniel McDonald, et al.. (2025). Integration of 168,000 samples reveals global patterns of the human gut microbiome. Cell. 188(4). 1100–1118.e17. 24 indexed citations breakdown →
2.
Ward, Zoë, Dominic A. Travis, Jonathan B. Clayton, et al.. (2025). Cardiometabolic disease risk in gorillas is associated with altered gut microbial metabolism. npj Biofilms and Microbiomes. 11(1). 33–33. 1 indexed citations
3.
Ferretti, Pamela, Kelsey E. Johnson, Sambhawa Priya, & Ran Blekhman. (2025). Genomics of host–microbiome interactions in humans. Nature Reviews Genetics. 27(1). 62–80. 1 indexed citations
4.
Ferretti, Pamela, Kelsey E. Johnson, Marco Rossi, et al.. (2025). Assembly of the infant gut microbiome and resistome are linked to bacterial strains in mother’s milk. Nature Communications. 16(1). 11536–11536.
5.
Blekhman, Ran, et al.. (2024). Multi-omic approaches for host-microbiome data integration. Gut Microbes. 16(1). 2297860–2297860. 47 indexed citations
6.
Johnson, Kelsey E., Nelmary Hernandez-Alvarado, Mark Blackstad, et al.. (2024). Human cytomegalovirus in breast milk is associated with milk composition and the infant gut microbiome and growth. Nature Communications. 15(1). 6216–6216. 3 indexed citations
7.
Grieneisen, Laura, Allison G. Hays, Erica Cook, Ran Blekhman, & Stacey R. Tecot. (2024). Temporal patterns of gut microbiota in lemurs (Eulemur rubriventer) living in intact and disturbed habitats in a novel sample type. American Journal of Primatology. 87(1). e23656–e23656.
8.
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
9.
Veseli, Iva, Matthew S. Schechter, Chiara Vanni, et al.. (2023). Microbes with higher metabolic independence are enriched in human gut microbiomes under stress. eLife. 12. 8 indexed citations
10.
Grieneisen, Laura, Ran Blekhman, & Elizabeth A. Archie. (2023). How longitudinal data can contribute to our understanding of host genetic effects on the gut microbiome. Gut Microbes. 15(1). 2178797–2178797. 8 indexed citations
11.
Priya, Sambhawa, Michael B. Burns, Tonya Ward, et al.. (2022). Identification of shared and disease-specific host gene–microbiome associations across human diseases using multi-omic integration. Nature Microbiology. 7(6). 780–795. 94 indexed citations
12.
Muehlbauer, Amanda L., Allison L. Richards, Adnan Alazizi, et al.. (2021). Interspecies variation in hominid gut microbiota controls host gene regulation. Cell Reports. 37(8). 110057–110057. 10 indexed citations
13.
Abdill, Richard J., Elizabeth M. Adamowicz, & Ran Blekhman. (2020). International authorship and collaboration across bioRxiv preprints. eLife. 9. 19 indexed citations
14.
Abdill, Richard J. & Ran Blekhman. (2019). Tracking the popularity and outcomes of all bioRxiv preprints. eLife. 8. 100 indexed citations
15.
Sharma, Ashok, Barbora Pafčo, Klára Vlčková, et al.. (2019). Mapping gastrointestinal gene expression patterns in wild primates and humans via fecal RNA-seq. BMC Genomics. 20(1). 493–493. 8 indexed citations
16.
Devoto, Audra E., Joanne M. Santini, Matthew R. Olm, et al.. (2019). Megaphages infect Prevotella and variants are widespread in gut microbiomes. Nature Microbiology. 4(4). 693–700. 134 indexed citations
17.
Clark, Christopher, Patrick Blaney, Sambhawa Priya, et al.. (2018). Transposon mutagenesis screen in mice identifies TM9SF2 as a novel colorectal cancer oncogene. Scientific Reports. 8(1). 15327–15327. 23 indexed citations
18.
Lynch, Joshua, Karen Tang, Sambhawa Priya, et al.. (2017). HOMINID: a framework for identifying associations between host genetic variation and microbiome composition. GigaScience. 6(12). 1–7. 18 indexed citations
19.
Richards, Allison L., Michael B. Burns, Adnan Alazizi, et al.. (2016). Genetic and Transcriptional Analysis of Human Host Response to Healthy Gut Microbiota. mSystems. 1(4). 35 indexed citations
20.
Tung, Jenny, Luis B. Barreiro, Michael B. Burns, et al.. (2015). Social networks predict gut microbiome composition in wild baboons. eLife. 4. 355 indexed citations breakdown →

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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