Michelle L. Olson

20 total papers · 620 total citations
13 papers, 446 citations indexed

About

Michelle L. Olson is a scholar working on Molecular Biology, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michelle L. Olson has authored 13 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michelle L. Olson's work include Microbial Metabolic Engineering and Bioproduction (4 papers), Biofuel production and bioconversion (3 papers) and Subtitles and Audiovisual Media (2 papers). Michelle L. Olson is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (4 papers), Biofuel production and bioconversion (3 papers) and Subtitles and Audiovisual Media (2 papers). Michelle L. Olson collaborates with scholars based in United States, China and Colombia. Michelle L. Olson's co-authors include Katy C. Kao, Jared B. Smith, Kevin D. Alloway, M. McEvoy, Michael C. Rodriguez, Samarthya Bhagia, Arthur J. Ragauskas, Naijia Hao, Zhiyuan Liu and Somnath Shinde and has published in prestigious journals such as Applied and Environmental Microbiology, The Journal of Comparative Neurology and Green Chemistry.

In The Last Decade

Michelle L. Olson

12 papers receiving 435 citations

Author Peers

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

Author						Papers	Cites
Michelle L. Olson	172	98	74	74	70	13	446
Tadashi Haraguchi	109 0.6×	173 1.8×	8 0.1×	76 1.0×	36 0.5×	16	456
Dandan Zhu	61 0.4×	53 0.5×	26 0.4×	32 0.4×	23 0.3×	44	443
Jordan L. Harris	48 0.3×	62 0.6×	75 1.0×	21 0.3×	174 2.5×	17	462
Francesca De Petrillo	23 0.1×	35 0.4×	146 2.0×	107 1.4×	17 0.2×	28	449
Samuel Phillips	219 1.3×	27 0.3×	10 0.1×	54 0.7×	17 0.2×	32	473
Elizabeth Baker	16 0.1×	60 0.6×	23 0.3×	152 2.1×	60 0.9×	31	413
Yasuo Kojima	162 0.9×	74 0.8×	66 0.9×	4 0.1×	20 0.3×	45	392
Runpeng Liu	45 0.3×	46 0.5×	11 0.1×	242 3.3×	24 0.3×	12	492
Manali Das	137 0.8×	246 2.5×	9 0.1×	88 1.2×	9 0.1×	14	468
Daniel J. Upton	43 0.3×	52 0.5×	22 0.3×	199 2.7×	40 0.6×	24	369

Countries citing papers authored by Michelle L. Olson

Since Specialization

Citations

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

Fields of papers citing papers by Michelle L. Olson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle L. Olson

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle L. Olson. A scholar is included among the top collaborators of Michelle L. Olson 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 Michelle L. Olson. Michelle L. Olson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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