Daniel G. Olson

6.2k citations
100 papers · 3.9k · h-index 36

Impact in

Papers in

Daniel G. Olson

93 papers receiving 3.8k citations

Peers

Daniel G. Olson
Comparison fields: 5 of 128
  • Biotechnology 477
  • Biomedical Engineering 2.3k
  • Molecular Biology 2.7k
  • Environmental Engineering 300
  • Building and Construction 281
Replace Adam M. Guss with:
Adam M. Guss United States
Shihui Yang China
C. Perry Chou Canada
Min‐Kyu Oh South Korea
Laura R. Jarboe United States
Syed Shams Yazdani India
Yu Jiang China
Esteban Marcellin Australia
Hubert Bahl Germany
Michael T. Guarnieri United States
Daniel G. Olson relative to Adam M. Guss United States Adam M. Guss's profile →
Citations per field
00.5×1.6×
Adam M. Guss · 1×
Citations per year

Countries citing papers authored by Daniel G. Olson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Olson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel G. Olson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel G. Olson Line = papers co-authored together Daniel G. Olson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011453
2 2015264
3 2011239
4 2010156
5 2012113
6 2016108
7 201698
8 201596
9 201492
10 201092
11 201589
12 201387
13 201579
14 201274
15 201972
16 201271
17 201869
18 201662
19 201960
20 201660

About Daniel G. Olson

Daniel G. Olson is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Materials Chemistry and Control and Systems Engineering, having authored 100 papers that have together received 3.9k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (54 papers), Microbial Metabolic Engineering and Bioproduction (50 papers), Enzyme Catalysis and Immobilization (14 papers), Enzyme Structure and Function (7 papers), Microbial Fuel Cells and Bioremediation (6 papers), Enzyme Production and Characterization (6 papers), Manufacturing Process and Optimization (5 papers) and Anaerobic Digestion and Biogas Production (5 papers). The work is most often cited by research in Biotechnology (477 citations), Biomedical Engineering (2.3k citations), Molecular Biology (2.7k citations), Environmental Engineering (300 citations) and Building and Construction (281 citations). Daniel G. Olson has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Lee R. Lynd, A. Joe Shaw, John E. McBride, Adam M. Guss, Tianyong Zheng, Liang Tian, Shuen Hon, Anthony A. Lanahan, Nicky C. Caiazza and Marybeth Maloney. Their work appears in journals such as Biotechnology for Biofuels, Metabolic Engineering, Applied and Environmental Microbiology, Journal of Bacteriology and Metabolic Engineering Communications.

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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