Daniel J. Lessner

1.3k total citations
29 papers, 993 citations indexed

About

Daniel J. Lessner is a scholar working on Molecular Biology, Building and Construction and Environmental Chemistry. According to data from OpenAlex, Daniel J. Lessner has authored 29 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Building and Construction and 8 papers in Environmental Chemistry. Recurrent topics in Daniel J. Lessner's work include Microbial metabolism and enzyme function (10 papers), Anaerobic Digestion and Biogas Production (10 papers) and Microbial bioremediation and biosurfactants (6 papers). Daniel J. Lessner is often cited by papers focused on Microbial metabolism and enzyme function (10 papers), Anaerobic Digestion and Biogas Production (10 papers) and Microbial bioremediation and biosurfactants (6 papers). Daniel J. Lessner collaborates with scholars based in United States, Iraq and Sweden. Daniel J. Lessner's co-authors include James G. Ferry, David T. Gibson, Rebecca E. Parales, Barry L. Karger, Tomáš Rejtar, Haiyan Jiang, Kyoung Lee, Sol M. Resnick, Lingyun Li and Glenn R. Johnson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Daniel J. Lessner

29 papers receiving 979 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 J. Lessner United States 14 519 349 191 169 167 29 993
Madeline E. Rasche United States 18 396 0.8× 279 0.8× 72 0.4× 55 0.3× 93 0.6× 34 889
Johannes W. Kung Germany 13 332 0.6× 255 0.7× 57 0.3× 104 0.6× 123 0.7× 18 694
Kevin McClay United States 22 574 1.1× 898 2.6× 53 0.3× 276 1.6× 143 0.9× 25 1.4k
Paolo De Marco Portugal 20 383 0.7× 394 1.1× 35 0.2× 50 0.3× 308 1.8× 39 965
Zorah Dermoun France 18 265 0.5× 103 0.3× 78 0.4× 99 0.6× 167 1.0× 30 888
Gert Wohlfarth Germany 22 773 1.5× 889 2.5× 116 0.6× 113 0.7× 255 1.5× 26 1.7k
Oliver Klimmek Germany 16 465 0.9× 155 0.4× 40 0.2× 101 0.6× 238 1.4× 24 1.1k
Tingfen Yan United States 14 352 0.7× 247 0.7× 28 0.1× 160 0.9× 366 2.2× 16 996
Benjamin M. Griffin United States 12 319 0.6× 251 0.7× 29 0.2× 52 0.3× 309 1.9× 14 874
R Oldenhuis Netherlands 7 578 1.1× 715 2.0× 40 0.2× 108 0.6× 109 0.7× 9 1.0k

Countries citing papers authored by Daniel J. Lessner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Lessner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Lessner

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Lessner. A scholar is included among the top collaborators of Daniel J. Lessner 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 J. Lessner. Daniel J. Lessner 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.
2.
Brye, Kristofor R., et al.. (2024). Water regime and fertilizer‐phosphorus source effects on greenhouse gas emissions from rice. Agrosystems Geosciences & Environment. 7(1). 5 indexed citations
3.
Brye, Kristofor R., et al.. (2023). Struvite Effects on Rice Growth and Productivity under Flood-Irrigation in the Greenhouse. Agricultural Sciences. 14(7). 864–877. 6 indexed citations
4.
Lessner, Daniel J., et al.. (2023). The minimal SUF system is not required for Fe–S cluster biogenesis in the methanogenic archaeon Methanosarcina acetivorans. Scientific Reports. 13(1). 15120–15120. 8 indexed citations
5.
Lessner, Daniel J., et al.. (2023). Expression of V-nitrogenase and Fe-nitrogenase in Methanosarcina acetivorans is controlled by molybdenum, fixed nitrogen, and the expression of Mo-nitrogenase. Applied and Environmental Microbiology. 89(9). e0103323–e0103323. 7 indexed citations
6.
Lessner, Daniel J., et al.. (2022). Methanosarcina acetivorans. Trends in Microbiology. 31(3). 320–321. 5 indexed citations
7.
Brye, Kristofor R., et al.. (2022). Site position and tillage treatment effects on nitrous oxide emissions from furrow-irrigated rice on a silt-loam Alfisol in the Mid-south, USA. Geoderma Regional. 28. e00491–e00491. 8 indexed citations
8.
Lessner, Daniel J., et al.. (2020). A CRISPRi-dCas9 System for Archaea and Its Use To Examine Gene Function during Nitrogen Fixation by Methanosarcina acetivorans. Applied and Environmental Microbiology. 86(21). 26 indexed citations
9.
Prakash, Divya, et al.. (2020). Methanosarcina acetivorans contains a functional ISC system for iron-sulfur cluster biogenesis. BMC Microbiology. 20(1). 323–323. 9 indexed citations
10.
Prakash, Divya, Ryan J. Martinie, Adepu Kiran Kumar, et al.. (2018). Toward a mechanistic and physiological understanding of a ferredoxin:disulfide reductase from the domains Archaea and Bacteria. Journal of Biological Chemistry. 293(24). 9198–9209. 6 indexed citations
11.
12.
Karr, Elizabeth A., et al.. (2015). The Methanosarcina acetivorans thioredoxin system activates DNA binding of the redox-sensitive transcriptional regulator MsvR. Journal of Industrial Microbiology & Biotechnology. 42(6). 965–969. 12 indexed citations
13.
Lessner, Daniel J., et al.. (2013). Redox-sensitive DNA binding by homodimeric Methanosarcina acetivorans MsvR is modulated by cysteine residues. BMC Microbiology. 13(1). 163–163. 11 indexed citations
14.
15.
Hirata, Akira, et al.. (2012). Subunit D of RNA Polymerase from Methanosarcina acetivorans Contains Two Oxygen-labile [4Fe-4S] Clusters. Journal of Biological Chemistry. 287(22). 18510–18523. 12 indexed citations
16.
Lessner, Daniel J., et al.. (2010). An Engineered Methanogenic Pathway Derived from the Domains Bacteria and Archaea. mBio. 1(5). 29 indexed citations
17.
Ferry, James G. & Daniel J. Lessner. (2008). Methanogenesis in Marine Sediments. Annals of the New York Academy of Sciences. 1125(1). 147–157. 67 indexed citations
18.
Lessner, Daniel J. & James G. Ferry. (2007). The Archaeon Methanosarcina acetivorans Contains a Protein Disulfide Reductase with an Iron-Sulfur Cluster. Journal of Bacteriology. 189(20). 7475–7484. 21 indexed citations
19.
Friemann, Rosmarie, Daniel J. Lessner, Chi-Li Yu, et al.. (2005). Structural Insight into the Dioxygenation of Nitroarene Compounds: the Crystal Structure of Nitrobenzene Dioxygenase. Journal of Molecular Biology. 348(5). 1139–1151. 97 indexed citations
20.
Parales, Rebecca E., Kyoung Lee, Sol M. Resnick, et al.. (2000). Substrate Specificity of Naphthalene Dioxygenase: Effect of Specific Amino Acids at the Active Site of the Enzyme. Journal of Bacteriology. 182(6). 1641–1649. 157 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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