Randy M. Berka

9.4k citations
47 papers · 4.2k indexed · 1 hit paper · h-index 28
Topics
Fungal and yeast genetics research (13 papers)Enzyme Production and Characterization (12 papers)Biofuel production and bioconversion (8 papers)

In The Last Decade

Randy M. Berka

46 papers receiving 4.0k citations

Hit Papers

Genome sequence of the lignocellulose degrading fungus Ph...20042026201120182004200400600

Peers

Randy M. Berka
Comparison fields: 5 of 142
  • Molecular Biology 2.3k
  • Plant Science 1.8k
  • Biotechnology 1.1k
  • Biomedical Engineering 869
  • Genetics 529
Replace Helmut Schwab with:
Helmut Schwab Austria
Paul Broda United Kingdom
René De Mot Belgium
Makari Yamasaki Japan
Yue‐zhong Li China
Hiroshi Tsujibo Japan
Friedhelm Meinhardt Germany
C. Theo Verrips Netherlands
Moshe Benziman Israel
Shigezo Udaka Japan
Randy M. Berka relative to Helmut Schwab Austria Helmut Schwab's profile →
Citations per field
00.5×1.5×1.9×
Helmut Schwab · 1×
Citations per year

Countries citing papers authored by Randy M. Berka

Since Specialization
Citations

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

Fields of papers citing papers by Randy M. Berka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Randy M. Berka. 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 Randy M. Berka. The network helps show where Randy M. Berka may publish in the future.

Co-authorship network of co-authors of Randy M. Berka

This figure shows the co-authorship network connecting the top 25 collaborators of Randy M. Berka. A scholar is included among the top collaborators of Randy M. Berka 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 Randy M. Berka. Randy M. Berka 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
#WorkIndexed citations
1 256
2 11
3 163
4 4
5 20
6
Genome sequence of the lignocellulose degrading fungus Phanerochaete chrysosporium strain RP78breakdown →
649
7 56
8 424
9 9
10 159
11 46
12
Molecular industrial mycology : systems and applications for filamentous fungi
29
13 25
14 121
15 102
16 121
17 21
18 85
19 24
20 122

About Randy M. Berka

Randy M. Berka is a scholar working on Biotechnology, Cell Biology and Molecular Biology, having authored 47 papers that have together received 4.2k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (13 papers), Enzyme Production and Characterization (12 papers) and Biofuel production and bioconversion (8 papers). The work is most often cited by research in Biotechnology (1.1k citations), Plant Science (1.8k citations) and Molecular Biology (2.3k citations). Randy M. Berka has collaborated with scholars based in United States, Denmark and France. Frequent co-authors include Michael L. Vasil, Stephen H.M. Brown, Michael P. Ward, Gregory L. Gray, Michael W. Rey, Debbie Yaver, Hanne Jarmer, Steen Knudsen, Lori J. Wilson and Feng Xu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Biotechnology.

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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