Benjamin Hillmann

29.1k total citations · 2 hit papers
17 papers, 1.9k citations indexed

About

Benjamin Hillmann is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Benjamin Hillmann has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Benjamin Hillmann's work include Gut microbiota and health (12 papers), Clostridium difficile and Clostridium perfringens research (6 papers) and Genomics and Phylogenetic Studies (4 papers). Benjamin Hillmann is often cited by papers focused on Gut microbiota and health (12 papers), Clostridium difficile and Clostridium perfringens research (6 papers) and Genomics and Phylogenetic Studies (4 papers). Benjamin Hillmann collaborates with scholars based in United States, France and Canada. Benjamin Hillmann's co-authors include Dan Knights, Gabriel A. Al‐Ghalith, Pajau Vangay, Robin Shields‐Cutler, Tonya Ward, Jens Walter, Qiyun Zhu, Rob Knight, Abigail J. Johnson and Daryl M. Gohl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Gastroenterology.

In The Last Decade

Benjamin Hillmann

17 papers receiving 1.9k citations

Hit Papers

Daily Sampling Reveals Personalized Diet-Microbiome Assoc... 2016 2026 2019 2022 2019 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Hillmann United States 12 1.5k 446 405 309 178 17 1.9k
Stephanie L. Schnorr United States 17 1.4k 0.9× 511 1.1× 367 0.9× 218 0.7× 261 1.5× 30 1.9k
Himel Mallick United States 17 1.7k 1.2× 426 1.0× 300 0.7× 232 0.8× 156 0.9× 36 2.5k
Emma Schwager United States 11 1.5k 1.0× 394 0.9× 283 0.7× 207 0.7× 117 0.7× 18 2.2k
Paul Igor Costea Germany 14 1.5k 1.0× 299 0.7× 517 1.3× 267 0.9× 83 0.5× 17 2.0k
Gregory Humphrey United States 18 1.3k 0.9× 383 0.9× 285 0.7× 192 0.6× 177 1.0× 25 2.1k
Jaehyoung Kim United States 12 1.3k 0.9× 414 0.9× 552 1.4× 517 1.7× 132 0.7× 21 2.2k
Aitor Blanco‐Míguez Spain 12 1.8k 1.2× 398 0.9× 375 0.9× 620 2.0× 118 0.7× 32 2.5k
Kazuyoshi Gotoh Japan 20 1.1k 0.7× 269 0.6× 468 1.2× 247 0.8× 112 0.6× 57 2.4k
Manuela Centanni Italy 16 1.3k 0.9× 391 0.9× 322 0.8× 388 1.3× 204 1.1× 22 1.8k
Gabriel A. Al‐Ghalith United States 17 2.0k 1.4× 613 1.4× 643 1.6× 283 0.9× 206 1.2× 29 2.8k

Countries citing papers authored by Benjamin Hillmann

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Hillmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Hillmann

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

All Works

17 of 17 papers shown
1.
Jurdi, Najla El, Shernan G. Holtan, Benjamin Hillmann, et al.. (2023). Pre‐transplant and longitudinal changes in faecal microbiome characteristics are associated with subsequent development of chronic graft‐versus‐host disease. British Journal of Haematology. 203(2). 288–294. 5 indexed citations
2.
Haq, Irshad Ul, et al.. (2022). Bacterial communities associated with wood rot fungi that use distinct decomposition mechanisms. ISME Communications. 2(1). 26–26. 30 indexed citations
3.
Hillmann, Benjamin, et al.. (2022). Massive blood transfusion following older adult trauma: The effect of blood ratios on mortality. Academic Emergency Medicine. 29(12). 1422–1430. 5 indexed citations
4.
Johnson, Abigail J., Benjamin Hillmann, Jerry Daniel, et al.. (2021). Saliva Testing Is Accurate for Early-Stage and Presymptomatic COVID-19. Microbiology Spectrum. 9(1). e0008621–e0008621. 11 indexed citations
5.
Bastard, Quentin Le, Guillaume Chapelet, Gabriel Birgand, et al.. (2020). Gut microbiome signatures of nursing home residents carrying Enterobacteria producing extended-spectrum β-lactamases. Antimicrobial Resistance and Infection Control. 9(1). 107–107. 11 indexed citations
6.
Hillmann, Benjamin, Gabriel A. Al‐Ghalith, Robin Shields‐Cutler, et al.. (2020). SHOGUN: a modular, accurate and scalable framework for microbiome quantification. Bioinformatics. 36(13). 4088–4090. 36 indexed citations
7.
Johnson, Abigail J., Pajau Vangay, Gabriel A. Al‐Ghalith, et al.. (2019). Daily Sampling Reveals Personalized Diet-Microbiome Associations in Humans. Cell Host & Microbe. 25(6). 789–802.e5. 474 indexed citations breakdown →
8.
Vangay, Pajau, Benjamin Hillmann, & Dan Knights. (2019). Microbiome Learning Repo (ML Repo): A public repository of microbiome regression and classification tasks. GigaScience. 8(5). 51 indexed citations
9.
Montassier, Emmanuel, Gabriel A. Al‐Ghalith, Benjamin Hillmann, et al.. (2018). CLOUD: a non-parametric detection test for microbiome outliers. Microbiome. 6(1). 137–137. 16 indexed citations
10.
Chen, Jun, Benjamin Hillmann, Patricio Jeraldo, et al.. (2018). Mo1934 - Gut Microbial Markers of Arthritis Including Inflammatory Bowel Disease Associated Arthropathy. Gastroenterology. 154(6). S–856. 4 indexed citations
11.
Bastard, Quentin Le, Tonya Ward, Dimitrios N. Sidiropoulos, et al.. (2018). Fecal microbiota transplantation reverses antibiotic and chemotherapy-induced gut dysbiosis in mice. Scientific Reports. 8(1). 6219–6219. 97 indexed citations
12.
Hillmann, Benjamin, Gabriel A. Al‐Ghalith, Robin Shields‐Cutler, et al.. (2018). Evaluating the Information Content of Shallow Shotgun Metagenomics. mSystems. 3(6). 282 indexed citations
13.
Chen, Jun, Benjamin Hillmann, Patricio Jeraldo, et al.. (2018). An Increased Abundance of Clostridiaceae Characterizes Arthritis in Inflammatory Bowel Disease and Rheumatoid Arthritis: A Cross-sectional Study. Inflammatory Bowel Diseases. 25(5). 902–913. 79 indexed citations
14.
Al‐Ghalith, Gabriel A., Benjamin Hillmann, K. Kian Ang, Robin Shields‐Cutler, & Dan Knights. (2018). SHI7 Is a Self-Learning Pipeline for Multipurpose Short-Read DNA Quality Control. mSystems. 3(3). 66 indexed citations
15.
Maldonado-Gómez, María X., Inés Martínez, Francesca Bottacini, et al.. (2016). Stable Engraftment of Bifidobacterium longum AH1206 in the Human Gut Depends on Individualized Features of the Resident Microbiome. Cell Host & Microbe. 20(4). 515–526. 342 indexed citations breakdown →
16.
Clayton, Jonathan B., Pajau Vangay, Hu Huang, et al.. (2016). Captivity humanizes the primate microbiome. Proceedings of the National Academy of Sciences. 113(37). 10376–10381. 344 indexed citations
17.
Sen, Shilad, et al.. (2015). Turkers, Scholars, "Arafat" and "Peace". 826–838. 31 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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