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 Canada. 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, Augustine M.K. Choi and Trinity L. Hamilton 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel S. Jones 623 464 389 289 216 53 1.6k
Lixin Jin 199 0.3× 445 1.0× 140 0.4× 83 0.3× 243 1.1× 69 2.9k
Karsten Pedersen 1.0k 1.6× 1.3k 2.8× 682 1.8× 248 0.9× 104 0.5× 86 3.0k
Theodore M. Flynn 385 0.6× 545 1.2× 558 1.4× 158 0.5× 22 0.1× 37 2.0k
Thomas Kühn 347 0.6× 214 0.5× 148 0.4× 44 0.2× 43 0.2× 69 1.9k
Shingo Kato 750 1.2× 514 1.1× 496 1.3× 197 0.7× 21 0.1× 59 1.5k
Brian Clement 334 0.5× 247 0.5× 298 0.8× 131 0.5× 42 0.2× 25 2.2k
Larry D. McKay 197 0.3× 202 0.4× 187 0.5× 61 0.2× 48 0.2× 58 2.3k
Susan M. Pfiffner 1.2k 1.9× 860 1.9× 650 1.7× 172 0.6× 34 0.2× 72 2.4k
David M Hill 292 0.5× 74 0.2× 131 0.3× 39 0.1× 152 0.7× 103 1.8k
Þorsteinn Thorsteinsson 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.
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
3.
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., 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
7.
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
8.
Jones, Daniel S., et al.. (2019). Microbial Ecology, Evolution, and Biosignature Potential in Isolated Chemosynthetic Cave Ecosystems. 2108. 5030. 1 indexed citations
9.
Siempos, Ilias Ι., C. Kevin, Mitsuru Imamura, et al.. (2018). RIPK3 mediates pathogenesis of experimental ventilator-induced lung injury. JCI Insight. 3(9). 56 indexed citations
10.
Sharrar, Allison, Beverly E. Flood, Jake V. Bailey, et al.. (2017). Novel Large Sulfur Bacteria in the Metagenomes of Groundwater-Fed Chemosynthetic Microbial Mats in the Lake Huron Basin. Frontiers in Microbiology. 8. 791–791. 20 indexed citations
11.
Finkelsztein, Eli J., Daniel S. Jones, C. Kevin, et al.. (2017). Comparison of qSOFA and SIRS for predicting adverse outcomes of patients with suspicion of sepsis outside the intensive care unit. Critical Care. 21(1). 73–73. 151 indexed citations
12.
Grettenberger, Christen L., et al.. (2017). Efficient Low-pH Iron Removal by a Microbial Iron Oxide Mound Ecosystem at Scalp Level Run. Applied and Environmental Microbiology. 83(7). 19 indexed citations
13.
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
14.
Bailey, Jake V., Beverly E. Flood, Daniel S. Jones, et al.. (2015). Barite encrustation of benthic sulfur‐oxidizing bacteria at a marine cold seep. Geobiology. 13(6). 588–603. 38 indexed citations
15.
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
16.
Jones, Daniel S.. (2015). 2. Methods for Characterizing Microbial Communities in Caves and Karst: A Review. 23–46. 1 indexed citations
17.
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
18.
Macalady, Jennifer L., et al.. (2007). Extremely acidic, pendulous cave wall biofilms from the Frasassi cave system, Italy. Environmental Microbiology. 9(6). 1402–1414. 133 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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