Daniel S. Jones

2.4k total citations
53 papers, 1.6k citations indexed

About

Daniel S. Jones is a scholar working on Ecology, Environmental Chemistry and Molecular Biology. According to data from OpenAlex, Daniel S. Jones has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 15 papers in Environmental Chemistry and 12 papers in Molecular Biology. Recurrent topics in Daniel S. Jones's work include Microbial Community Ecology and Physiology (21 papers), Metal Extraction and Bioleaching (12 papers) and Mine drainage and remediation techniques (9 papers). Daniel S. Jones is often cited by papers focused on Microbial Community Ecology and Physiology (21 papers), Metal Extraction and Bioleaching (12 papers) and Mine drainage and remediation techniques (9 papers). Daniel S. Jones collaborates with scholars based in United States, Germany and United Kingdom. Daniel S. Jones's co-authors include Jennifer L. Macalady, Irene Schaperdoth, Jake V. Bailey, Beverly E. Flood, Sharmishtha Dattagupta, Greg Druschel, William D. Burgos, Kiichi Nakahira, C. Kevin and Augustine M.K. Choi and has published in prestigious journals such as Environmental Science & Technology, Geochimica et Cosmochimica Acta and Applied and Environmental Microbiology.

In The Last Decade

Daniel S. Jones

49 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel S. Jones United States 24 623 464 389 289 216 53 1.6k
Lixin Jin United States 32 199 0.3× 445 1.0× 140 0.4× 83 0.3× 243 1.1× 69 2.9k
Karsten Pedersen Sweden 36 1.0k 1.6× 1.3k 2.8× 682 1.8× 248 0.9× 104 0.5× 86 3.0k
Theodore M. Flynn United States 22 385 0.6× 545 1.2× 558 1.4× 158 0.5× 22 0.1× 37 2.0k
Thomas Kühn Germany 24 347 0.6× 214 0.5× 148 0.4× 44 0.2× 43 0.2× 69 1.9k
Shingo Kato Japan 23 750 1.2× 514 1.1× 496 1.3× 197 0.7× 21 0.1× 59 1.5k
Brian Clement United States 14 334 0.5× 247 0.5× 298 0.8× 131 0.5× 42 0.2× 25 2.2k
Larry D. McKay United States 29 197 0.3× 202 0.4× 187 0.5× 61 0.2× 48 0.2× 58 2.3k
Susan M. Pfiffner United States 30 1.2k 1.9× 860 1.9× 650 1.7× 172 0.6× 34 0.2× 72 2.4k
David M Hill United States 21 292 0.5× 74 0.2× 131 0.3× 39 0.1× 152 0.7× 103 1.8k
Þorsteinn Thorsteinsson Iceland 25 395 0.6× 192 0.4× 203 0.5× 61 0.2× 75 0.3× 70 2.0k

Countries citing papers authored by Daniel S. Jones

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Jones

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Jones. A scholar is included among the top collaborators of Daniel S. Jones 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 Daniel S. Jones. Daniel S. Jones 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.
McLemore, Virginia T., et al.. (2025). Historic mine waste contains diverse microbial communities that reflect waste type and geochemistry. Applied and Environmental Microbiology. 91(8). e0043425–e0043425.
2.
3.
Hose, Louise D., et al.. (2024). Origin and modern microbial ecology of secondary mineral deposits in Lehman Caves, Great Basin National Park, NV , USA. Geobiology. 22(3). e12594–e12594. 3 indexed citations
4.
Feinberg, Joshua M., et al.. (2023). Microbial communities from weathered outcrops of a sulfide‐rich ultramafic intrusion, and implications for mine waste management. Environmental Microbiology. 25(12). 3512–3526. 1 indexed citations
5.
Jones, Daniel S., et al.. (2022). Single cell capture and sequencing after large scale phenotyping of bacterial populations. Biophysical Journal. 121(3). 61a–61a.
6.
Jones, Daniel S. & Diana E. Northup. (2021). Cave Decorating with Microbes: Geomicrobiology of Caves. Elements. 17(2). 107–112. 13 indexed citations
7.
Kieft, Thomas L., et al.. (2021). Lighting Effects on the Development and Diversity of Photosynthetic Biofilm Communities in Carlsbad Cavern, New Mexico. Applied and Environmental Microbiology. 87(6). 24 indexed citations
8.
Gionfriddo, Caitlin M., Ann M. Wymore, Daniel S. Jones, et al.. (2020). An Improved hgcAB Primer Set and Direct High-Throughput Sequencing Expand Hg-Methylator Diversity in Nature. Frontiers in Microbiology. 11. 541554–541554. 49 indexed citations
9.
Jones, Daniel S., et al.. (2020). Applying high-throughput rRNA gene sequencing to assess microbial contamination of a 40-year old exposed archaeological profile. Journal of Archaeological Science. 126. 105308–105308. 4 indexed citations
10.
Jones, Daniel S., et al.. (2019). Microbial Ecology, Evolution, and Biosignature Potential in Isolated Chemosynthetic Cave Ecosystems. 2108. 5030. 1 indexed citations
11.
Flood, Beverly E., Daniel S. Jones, Gregory J. Dick, et al.. (2016). Single-Cell (Meta-)Genomics of a Dimorphic Candidatus Thiomargarita nelsonii Reveals Genomic Plasticity. Frontiers in Microbiology. 7. 603–603. 22 indexed citations
12.
Telem, Dana A., et al.. (2015). Variability in Bariatric Clinical Pathways: Assessing National Provision of Care. Surgery for Obesity and Related Diseases. 11(6). S129–S130.
13.
Jones, Daniel S., Beverly E. Flood, & Jake V. Bailey. (2015). Metatranscriptomic Analysis of Diminutive Thiomargarita-Like Bacteria (“Candidatus Thiopilula” spp.) from Abyssal Cold Seeps of the Barbados Accretionary Prism. Applied and Environmental Microbiology. 81(9). 3142–3156. 14 indexed citations
14.
Hamilton, Trinity L., Daniel S. Jones, Irene Schaperdoth, & Jennifer L. Macalady. (2015). Metagenomic insights into S(0) precipitation in a terrestrial subsurface lithoautotrophic ecosystem. Frontiers in Microbiology. 5. 756–756. 60 indexed citations
15.
Jones, Daniel S., Irene Schaperdoth, & Jennifer L. Macalady. (2014). Metagenomic Evidence for Sulfide Oxidation in Extremely Acidic Cave Biofilms. Geomicrobiology Journal. 31(3). 194–204. 23 indexed citations
16.
Jones, Daniel S., Heidi L. Albrecht, Katherine S. Dawson, et al.. (2011). Community genomic analysis of an extremely acidophilic sulfur-oxidizing biofilm. The ISME Journal. 6(1). 158–170. 130 indexed citations
17.
Macalady, Jennifer L., et al.. (2008). Niche differentiation among sulfur-oxidizing bacterial populations in cave waters. The ISME Journal. 2(6). 590–601. 158 indexed citations
18.
Jones, Daniel S.. (2003). Atomic views of a human P450. Nature Reviews Drug Discovery. 2(9). 685–685. 1 indexed citations
19.
McGinty, James & Daniel S. Jones. (2001). Viral methods of gene transfer. Research Portal (King's College London). 3. 1 indexed citations
20.
Re, Edward, Daniel S. Jones, & R. Marc Learned. (1995). Co‐expression of native and introduced genes reveals cryptic regulation of HMG CoA reductase expression in Arabidopsis. The Plant Journal. 7(5). 771–784. 50 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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