Diana M. Proctor

4.9k total citations · 1 hit paper
12 papers, 2.5k citations indexed

About

Diana M. Proctor is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Diana M. Proctor has authored 12 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Diana M. Proctor's work include Gut microbiota and health (11 papers), Oral microbiology and periodontitis research (3 papers) and Salivary Gland Disorders and Functions (3 papers). Diana M. Proctor is often cited by papers focused on Gut microbiota and health (11 papers), Oral microbiology and periodontitis research (3 papers) and Salivary Gland Disorders and Functions (3 papers). Diana M. Proctor collaborates with scholars based in United States, United Kingdom and Australia. Diana M. Proctor's co-authors include David A. Relman, Susan Holmes, Nicole M. Davis, Benjamin J. Callahan, Julia Fukuyama, Peter M. Loomer, Gary C. Armitage, Mark I. Ryder, Julia A. Segre and Gary M. Shaw and has published in prestigious journals such as Nature Communications, Genome Research and Cell Host & Microbe.

In The Last Decade

Diana M. Proctor

12 papers receiving 2.4k citations

Hit Papers

Simple statistical identification and removal of contamin... 2018 2026 2020 2023 2018 500 1000 1.5k

Peers

Diana M. Proctor
Nicole M. Davis United States
Szymon Calus United Kingdom
José A. Navas-Molina United States
Susannah J. Salter United Kingdom
Fares Z. Najar United States
Nicole M. Davis United States
Diana M. Proctor
Citations per year, relative to Diana M. Proctor Diana M. Proctor (= 1×) peers Nicole M. Davis

Countries citing papers authored by Diana M. Proctor

Since Specialization
Citations

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

Fields of papers citing papers by Diana M. Proctor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diana M. Proctor. 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 Diana M. Proctor. The network helps show where Diana M. Proctor may publish in the future.

Co-authorship network of co-authors of Diana M. Proctor

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

All Works

12 of 12 papers shown
1.
Proctor, Diana M., Dinesh Bhandari, Sarmila Tandukar, et al.. (2024). Nepali oral microbiomes reflect a gradient of lifestyles from traditional to industrialized. Microbiome. 12(1). 228–228. 4 indexed citations
2.
Proctor, Diana M., Rebecca A. Drummond, Michail S. Lionakis, & Julia A. Segre. (2023). One population, multiple lifestyles: Commensalism and pathogenesis in the human mycobiome. Cell Host & Microbe. 31(4). 539–553. 36 indexed citations
3.
Proctor, Diana M., Nsa Dada, Anna Serquiña, & Julia L. E. Willett. (2023). Problems with Peer Review Shine a Light on Gaps in Scientific Training. mBio. 14(3). e0318322–e0318322. 7 indexed citations
4.
Sim, Choon Kiat, Sara Saheb Kashaf, Apollo Stacy, et al.. (2022). A mouse model of occult intestinal colonization demonstrating antibiotic-induced outgrowth of carbapenem-resistant Enterobacteriaceae. Microbiome. 10(1). 43–43. 17 indexed citations
5.
Liang, Hai, Jay‐Hyun Jo, Zhiwei Zhang, et al.. (2022). Predicting cancer immunotherapy response from gut microbiomes using machine learning models. Oncotarget. 13(1). 876–889. 22 indexed citations
6.
Huang, Xin, Rory M. Welsh, Clay Deming, et al.. (2021). Skin Metagenomic Sequence Analysis of Early Candida auris Outbreaks in U.S. Nursing Homes. mSphere. 6(4). e0028721–e0028721. 29 indexed citations
7.
Proctor, Diana M., Antonio González, Les Dethlefsen, et al.. (2019). Microbial biogeography and ecology of the mouth and implications for periodontal diseases. Periodontology 2000. 82(1). 26–41. 51 indexed citations
8.
Davis, Nicole M., Diana M. Proctor, Susan Holmes, David A. Relman, & Benjamin J. Callahan. (2018). Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data. Microbiome. 6(1). 226–226. 1946 indexed citations breakdown →
9.
Goltsman, Daniela S. Aliaga, Christine Sun, Diana M. Proctor, et al.. (2018). Metagenomic analysis with strain-level resolution reveals fine-scale variation in the human pregnancy microbiome. Genome Research. 28(10). 1467–1480. 107 indexed citations
10.
Proctor, Diana M., Julia Fukuyama, Peter M. Loomer, et al.. (2018). A spatial gradient of bacterial diversity in the human oral cavity shaped by salivary flow. Nature Communications. 9(1). 681–681. 79 indexed citations
11.
Proctor, Diana M. & David A. Relman. (2017). The Landscape Ecology and Microbiota of the Human Nose, Mouth, and Throat. Cell Host & Microbe. 21(4). 421–432. 134 indexed citations
12.
Callahan, Benjamin J., Diana M. Proctor, David A. Relman, Julia Fukuyama, & Susan Holmes. (2015). REPRODUCIBLE RESEARCH WORKFLOW IN R FOR THE ANALYSIS OF PERSONALIZED HUMAN MICROBIOME DATA. PubMed. 21. 183–194. 26 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

Rankless by CCL
2026