K. C. McFarland

1.0k total citations · 1 hit paper
8 papers, 803 citations indexed

About

K. C. McFarland is a scholar working on Biomedical Engineering, Molecular Biology and Biotechnology. According to data from OpenAlex, K. C. McFarland has authored 8 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Molecular Biology and 3 papers in Biotechnology. Recurrent topics in K. C. McFarland's work include Biofuel production and bioconversion (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Food composition and properties (2 papers). K. C. McFarland is often cited by papers focused on Biofuel production and bioconversion (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and Food composition and properties (2 papers). K. C. McFarland collaborates with scholars based in Denmark and Sweden. K. C. McFarland's co-authors include Hanshu Ding, Edward Re, Kimberly M. Brown, Rune Salbo, Leila Lo Leggio, Elena Vlasenko, Joel R. Cherry, Ditte Hededam Welner, Jens-Christian N. Poulsen and Paul V. Harris and has published in prestigious journals such as Biochemistry, Diabetes and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

K. C. McFarland

8 papers receiving 787 citations

Hit Papers

Stimulation of Lignocellu... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. C. McFarland Denmark 6 633 431 313 289 121 8 803
Matthias Frommhagen Netherlands 12 563 0.9× 329 0.8× 326 1.0× 382 1.3× 71 0.6× 17 752
Gastón Courtade Norway 14 439 0.7× 384 0.9× 266 0.8× 295 1.0× 92 0.8× 26 718
Gerdt Müller Norway 8 694 1.1× 471 1.1× 299 1.0× 418 1.4× 127 1.0× 8 943
Isabelle Herpoël‐Gimbert France 12 576 0.9× 394 0.9× 399 1.3× 394 1.4× 67 0.6× 13 825
Piotr Chylenski Norway 13 845 1.3× 575 1.3× 396 1.3× 498 1.7× 144 1.2× 15 1.1k
Jeffrey A. Mertens United States 19 503 0.8× 524 1.2× 198 0.6× 231 0.8× 45 0.4× 42 858
Mireille Haon France 19 803 1.3× 541 1.3× 546 1.7× 575 2.0× 86 0.7× 23 1.2k
Erik Breslmayr Austria 9 451 0.7× 316 0.7× 242 0.8× 360 1.2× 38 0.3× 12 694
Daniela Alonso Bocchini Brazil 15 548 0.9× 432 1.0× 367 1.2× 124 0.4× 57 0.5× 24 757
Marita Preims Austria 6 378 0.6× 277 0.6× 187 0.6× 289 1.0× 31 0.3× 6 570

Countries citing papers authored by K. C. McFarland

Since Specialization
Citations

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

Fields of papers citing papers by K. C. McFarland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. C. McFarland. 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 K. C. McFarland. The network helps show where K. C. McFarland may publish in the future.

Co-authorship network of co-authors of K. C. McFarland

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

All Works

8 of 8 papers shown
1.
Olsson, Lisbeth, et al.. (2018). Redox processes acidify and decarboxylate steam-pretreated lignocellulosic biomass and are modulated by LPMO and catalase. Biotechnology for Biofuels. 11(1). 165–165. 32 indexed citations
2.
Wischmann, Bente, et al.. (2012). Biomass Conversion Determined via Fluorescent Cellulose Decay Assay. Methods in enzymology on CD-ROM/Methods in enzymology. 510. 19–36. 3 indexed citations
3.
Bohlin, Christina, et al.. (2011). Effects of non-ionic surfactants on the interactions between cellulases and tannic acid: A model system for cellulase–poly-phenol interactions. Enzyme and Microbial Technology. 49(4). 353–359. 35 indexed citations
4.
Præstgaard, Eigil, et al.. (2011). A kinetic model for the burst phase of processive cellulases. FEBS Journal. 278(9). 1547–1560. 80 indexed citations
5.
Olsen, Søren N., et al.. (2010). Kinetics of Enzymatic High-Solid Hydrolysis of Lignocellulosic Biomass Studied by Calorimetry. Applied Biochemistry and Biotechnology. 163(5). 626–635. 27 indexed citations
6.
Harris, Paul V., Ditte Hededam Welner, K. C. McFarland, et al.. (2010). Stimulation of Lignocellulosic Biomass Hydrolysis by Proteins of Glycoside Hydrolase Family 61: Structure and Function of a Large, Enigmatic Family. Biochemistry. 49(15). 3305–3316. 598 indexed citations breakdown →
7.
Murphy, Leigh, Kim Borch, K. C. McFarland, Christina Bohlin, & Peter Westh. (2009). A calorimetric assay for enzymatic saccharification of biomass. Enzyme and Microbial Technology. 46(2). 141–146. 27 indexed citations
8.
McFarland, K. C., et al.. (1989). Peptide-based radioimmunoassay for insulin receptor. Detection of insulin-stimulated downregulation in IM-9 lymphocytes. Diabetes. 38(8). 987–990. 1 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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