David S. Holmes

13.7k total citations · 1 hit paper
266 papers, 11.2k citations indexed

About

David S. Holmes is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, David S. Holmes has authored 266 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 101 papers in Biomedical Engineering, 70 papers in Materials Chemistry and 52 papers in Molecular Biology. Recurrent topics in David S. Holmes's work include Metal Extraction and Bioleaching (96 papers), Corrosion Behavior and Inhibition (65 papers) and Minerals Flotation and Separation Techniques (32 papers). David S. Holmes is often cited by papers focused on Metal Extraction and Bioleaching (96 papers), Corrosion Behavior and Inhibition (65 papers) and Minerals Flotation and Separation Techniques (32 papers). David S. Holmes collaborates with scholars based in Chile, United States and Sweden. David S. Holmes's co-authors include Michael E. Quigley, Raquel Quatrini, Eugenia Jedlicki, James Bonner, Jorge Valdés, Violaine Bonnefoy, Mark Dopson, Sheldon Solomon, Juan Pablo Cárdenas and Inti Pedroso and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

David S. Holmes

262 papers receiving 10.2k citations

Hit Papers

A rapid boiling method for the preparation of bacterial p... 1981 2026 1996 2011 1981 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David S. Holmes Chile 52 3.6k 3.3k 1.6k 1.4k 1.2k 266 11.2k
Frederick S. vom Saal United States 69 1.8k 0.5× 518 0.2× 413 0.3× 274 0.2× 2.6k 2.2× 166 23.2k
Zuhong Lu China 51 5.2k 1.5× 1.5k 0.5× 1.4k 0.9× 74 0.1× 471 0.4× 513 11.8k
R. John Aitken Australia 119 7.0k 2.0× 1.7k 0.5× 3.2k 2.1× 226 0.2× 4.8k 3.9× 679 49.3k
Ellen K. Silbergeld United States 70 2.3k 0.6× 341 0.1× 417 0.3× 509 0.4× 448 0.4× 310 16.5k
Jonathan A. Eisen United States 80 9.6k 2.7× 779 0.2× 434 0.3× 210 0.2× 2.0k 1.7× 324 24.4k
Ana M. Soto United States 73 4.2k 1.2× 952 0.3× 285 0.2× 452 0.3× 4.6k 3.8× 197 28.1k
Shanna H. Swan United States 72 2.3k 0.7× 448 0.1× 300 0.2× 227 0.2× 955 0.8× 254 21.8k
Charles R. Tyler United Kingdom 93 2.5k 0.7× 1.3k 0.4× 3.6k 2.3× 1.1k 0.8× 5.2k 4.3× 387 32.4k
J. Thomas Beatty Canada 58 5.3k 1.5× 382 0.1× 475 0.3× 64 0.0× 962 0.8× 229 13.4k
Edward L. Schneider United States 51 7.1k 2.0× 388 0.1× 650 0.4× 146 0.1× 922 0.8× 234 20.0k

Countries citing papers authored by David S. Holmes

Since Specialization
Citations

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

Fields of papers citing papers by David S. Holmes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Holmes. 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 David S. Holmes. The network helps show where David S. Holmes may publish in the future.

Co-authorship network of co-authors of David S. Holmes

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Holmes. A scholar is included among the top collaborators of David S. Holmes 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 David S. Holmes. David S. Holmes 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
2.
Khaleque, Himel Nahreen, Homayoun Fathollahzadeh, Anna H. Kaksonen, et al.. (2024). Genomic insights into key mechanisms for carbon, nitrogen, and phosphate assimilation by the acidophilic, halotolerant genus Acidihalobacter members. FEMS Microbiology Ecology. 100(12). 1 indexed citations
3.
González, Carolina, et al.. (2023). Comparative genomics sheds light on transcription factor-mediated regulation in the extreme acidophilic Acidithiobacillia representatives. Research in Microbiology. 175(1-2). 104135–104135. 2 indexed citations
4.
Scholte, Larissa, Renato Oliveira, Daniel Morais, et al.. (2022). Draft Genome Sequence of the Novel, Moderately Thermophilic, Iron- and Sulfur-Oxidizing Firmicute Strain Y002, Isolated from an Extremely Acidic Geothermal Environment. Microbiology Resource Announcements. 11(6). e0014922–e0014922. 1 indexed citations
5.
Pakostová, Eva, et al.. (2022). Draft Genome Sequence of Firmicutes Strain S 0 AB, a Heterotrophic Iron/Sulfur-Oxidizing Extreme Acidophile. Microbiology Resource Announcements. 11(8). e0027122–e0027122. 3 indexed citations
6.
González, Carolina, et al.. (2022). A Large-Scale Genome-Based Survey of Acidophilic Bacteria Suggests That Genome Streamlining Is an Adaption for Life at Low pH. Frontiers in Microbiology. 13. 803241–803241. 19 indexed citations
7.
Jorquera, Rossana, Carolina González, Philip T. L. C. Clausen, Bent Petersen, & David S. Holmes. (2021). SinEx DB 2.0 update 2020: database for eukaryotic single-exon coding sequences. Database. 2021. 2 indexed citations
9.
Holmes, David S., et al.. (2020). AciDB 1.0: a database of acidophilic organisms, their genomic information and associated metadata. Bioinformatics. 36(19). 4970–4971. 10 indexed citations
10.
Khaleque, Himel Nahreen, et al.. (2020). Unlocking Survival Mechanisms for Metal and Oxidative Stress in the Extremely Acidophilic, Halotolerant Acidihalobacter Genus. Genes. 11(12). 1392–1392. 10 indexed citations
11.
Khaleque, Himel Nahreen, Carolina González, D. Barrie Johnson, et al.. (2020). Genome-based classification of Acidihalobacter prosperus F5 (=DSM 105917=JCM 32255) as Acidihalobacter yilgarnensis sp. nov.. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 70(12). 6226–6234. 11 indexed citations
12.
Martín, Alberto J. M., et al.. (2016). Graphlet Based Metrics for the Comparison of Gene Regulatory Networks. PLoS ONE. 11(10). e0163497–e0163497. 12 indexed citations
13.
Ossandon, Francisco J., et al.. (2016). SinEx DB: a database for single exon coding sequences in mammalian genomes. Database. 2016. baw095–baw095. 16 indexed citations
14.
Holmes, David S., et al.. (2006). Taking the pulse of Latin American microbiology: the 18th ALAM Congress (Pucón, 23-26 October 2006). International Microbiology. 9(4). 306–308. 2 indexed citations
15.
Jedlicki, Eugenia, et al.. (2005). Identification of a Gene Cluster for the Formation of Extracellular Polysaccharide Precursors in the Chemolithoautotroph Acidithiobacillus ferrooxidans. Applied and Environmental Microbiology. 71(6). 2902–2909. 100 indexed citations
16.
McGuire, Kathleen L. & David S. Holmes. (2005). Role of complementary proteins in autoimmunity: an old idea re-emerges with new twists. Trends in Immunology. 26(7). 367–372. 21 indexed citations
17.
Levicán, Gloria, et al.. (2000). An RT-PCR artifact in the characterization of bacterial operons. Electronic Journal of Biotechnology. 3(3). 12–13. 11 indexed citations
18.
Bueno, Susan M., et al.. (1999). IST1 insertional inactivation of theresBgene: implications for phenotypic switching inThiobacillus ferrooxidans. FEMS Microbiology Letters. 175(2). 223–229. 24 indexed citations
19.
Holmes, David S., et al.. (1986). Biotechnology for the mining, metal-refining and fossil fuel processing industries : proceedings of a workshop held at Rensselaer Polytechnic Institute in Troy, New York, May 28-30, 1985. Wiley eBooks. 1 indexed citations
20.
Houston, B. Kent, et al.. (1976). Influence of multiple models on the behavior of institutionalized retarded children: Increased generalization to other models and other behaviors.. Journal of Consulting and Clinical Psychology. 44(4). 514–519. 7 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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