Diane Bauer

1.6k total citations
16 papers, 988 citations indexed

About

Diane Bauer is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Diane Bauer has authored 16 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Plant Science and 3 papers in Pharmacology. Recurrent topics in Diane Bauer's work include Fungal Biology and Applications (3 papers), Enzyme-mediated dye degradation (2 papers) and Glycosylation and Glycoproteins Research (2 papers). Diane Bauer is often cited by papers focused on Fungal Biology and Applications (3 papers), Enzyme-mediated dye degradation (2 papers) and Glycosylation and Glycoproteins Research (2 papers). Diane Bauer collaborates with scholars based in United States, Netherlands and Spain. Diane Bauer's co-authors include Michael Kiefer, C Gallegos, Anthony Cerami, Patricia Tekamp-Olson, Barbara Sherry, Philip J. Barr, Joyce McClain, Myriam Fabre, Sander van Deventer and Frank R. Masiarz and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Diane Bauer

15 papers receiving 953 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Diane Bauer United States	10	371	327	187	168	143	16	988
A I Roberts United States	18	350 0.9×	599 1.8×	318 1.7×	108 0.6×	43 0.3×	33	1.5k
Salvatore Metafora Italy	23	693 1.9×	157 0.5×	88 0.5×	84 0.5×	130 0.9×	82	1.4k
Hélène Coppin France	31	497 1.3×	1.2k 3.6×	224 1.2×	37 0.2×	204 1.4×	71	3.6k
Erdmute Kunstmann Germany	17	430 1.2×	299 0.9×	293 1.6×	58 0.3×	64 0.4×	41	1.5k
Gloria Soldevila Mexico	21	363 1.0×	837 2.6×	347 1.9×	115 0.7×	57 0.4×	76	1.6k
Joan Hanley-Hyde United States	9	339 0.9×	803 2.5×	179 1.0×	40 0.2×	146 1.0×	13	1.3k
David Langlais Canada	21	686 1.8×	544 1.7×	194 1.0×	103 0.6×	46 0.3×	52	1.4k
Yumi Yamashita Japan	26	934 2.5×	1.1k 3.4×	389 2.1×	38 0.2×	116 0.8×	77	2.3k
KH Kim South Korea	20	746 2.0×	359 1.1×	85 0.5×	44 0.3×	49 0.3×	48	1.4k
Allison C. Billi United States	23	783 2.1×	506 1.5×	82 0.4×	28 0.2×	242 1.7×	48	1.9k

Countries citing papers authored by Diane Bauer

Since Specialization

Citations

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

Fields of papers citing papers by Diane Bauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diane Bauer. 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 Diane Bauer. The network helps show where Diane Bauer may publish in the future.

Co-authorship network of co-authors of Diane Bauer

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

All Works

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16 of 16 papers shown

Alfaro, Manuel, Gúmer Pérez, Anna Lipzen, et al.. (2025). Comparative transcriptomics of CAZy enzymes in white- and brown-rot agaricomycetes: Evolutionary insights into lignocellulose degradation and the relevance of GH16 glycoside hydrolase functional divergence. New Biotechnology. 90. 236–256.

Honda, Yoichi, Anna Lipzen, Kathleen Lail, et al.. (2024). In silico analysis of the expression profile of AA9 Lytic Polysaccharide Monooxygenases (LPMOs) and the CDH Cellobiose Dehydrogenase enzyme in wood-degrader Agaricomycetes. The Pleurotus ostreatus case. Current Research in Biotechnology. 8. 100244–100244. 1 indexed citations

Bhaskara, Govinal Badiger, Taslima Haque, Jason Bonnette, et al.. (2023). Evolutionary Analyses of Gene Expression Divergence in Panicum hallii: Exploring Constitutive and Plastic Responses Using Reciprocal Transplants. Molecular Biology and Evolution. 40(10). 3 indexed citations

Zhao, Yao, Javier F. Tabima, Sheng Zhu, et al.. (2023). Secreted Effector Proteins of Poplar Leaf Spot and Stem Canker Pathogen Sphaerulina musiva Manipulate Plant Immunity and Contribute to Virulence in Diverse Ways. Molecular Plant-Microbe Interactions. 36(12). 779–795. 4 indexed citations

Garrigues, Sandra, Roland S. Kun, Mao Peng, et al.. (2022). Unraveling the regulation of sugar beet pulp utilization in the industrially relevant fungus Aspergillus niger. iScience. 25(4). 104065–104065. 8 indexed citations

Plett, Krista L., Annegret Kohler, Teresa Lebel, et al.. (2020). Intra‐species genetic variability drives carbon metabolism and symbiotic host interactions in the ectomycorrhizal fungus Pisolithus microcarpus. Environmental Microbiology. 23(4). 2004–2020. 16 indexed citations

Kowalczyk, Joanna E., Evy Battaglia, María Victoria Aguilar Pontes, et al.. (2019). Transcriptome analysis of Aspergillus niger xlnR and xkiA mutants grown on corn Stover and soybean hulls reveals a highly complex regulatory network. BMC Genomics. 20(1). 853–853. 8 indexed citations

López, David, Philippe Label, Boris Fumanal, et al.. (2018). Genome-Wide Analysis of Corynespora cassiicola Leaf Fall Disease Putative Effectors. Frontiers in Microbiology. 9. 276–276. 65 indexed citations

Wenzel, Katrin, et al.. (2003). Identification and Characterization of KAT, a Novel Gene Preferentially Expressed in Several Human Cancer Cell Lines. Biological Chemistry. 384(5). 763–75. 13 indexed citations

10.

Kiefer, Michael, et al.. (1991). Molecular cloning of a new human insulin-like growth factor binding protein. Biochemical and Biophysical Research Communications. 176(1). 219–225. 85 indexed citations

11.

Kiefer, Michael, et al.. (1990). The cDNA and derived amino acid sequences of human and bovine bone Gla protein. Nucleic Acids Research. 18(7). 1909–1909. 40 indexed citations

12.

Tekamp-Olson, Patricia, C Gallegos, Diane Bauer, et al.. (1990). Cloning and characterization of cDNAs for murine macrophage inflammatory protein 2 and its human homologues.. The Journal of Experimental Medicine. 172(3). 911–919. 262 indexed citations

13.

Zapf, J., Michael Kiefer, James P. Merryweather, et al.. (1990). Isolation from adult human serum of four insulin-like growth factor (IGF) binding proteins and molecular cloning of one of them that is increased by IGF I administration and in extrapancreatic tumor hypoglycemia.. Journal of Biological Chemistry. 265(25). 14892–14898. 104 indexed citations

14.

Williams, Margiad, et al.. (1989). Molecular cloning of human myelin‐associated glycoprotein. Journal of Neuroscience Research. 24(2). 137–142. 42 indexed citations

15.

Kiefer, Michael, Diane Bauer, & Philip J. Barr. (1989). The cDNA and derived amino acid sequence for human osteopontin. Nucleic Acids Research. 17(8). 3306–3306. 129 indexed citations

16.

Sherry, Barbara, Patricia Tekamp-Olson, C Gallegos, et al.. (1988). Resolution of the two components of macrophage inflammatory protein 1, and cloning and characterization of one of those components, macrophage inflammatory protein 1 beta.. The Journal of Experimental Medicine. 168(6). 2251–2259. 208 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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