Chase M. Clark

583 total citations
8 papers, 134 citations indexed

About

Chase M. Clark is a scholar working on Molecular Biology, Clinical Biochemistry and Pharmacology. According to data from OpenAlex, Chase M. Clark has authored 8 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Clinical Biochemistry and 4 papers in Pharmacology. Recurrent topics in Chase M. Clark's work include Genomics and Phylogenetic Studies (7 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Microbial Natural Products and Biosynthesis (4 papers). Chase M. Clark is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Microbial Natural Products and Biosynthesis (4 papers). Chase M. Clark collaborates with scholars based in United States, Iceland and Italy. Chase M. Clark's co-authors include Brian T. Murphy, Maria Costa, Laura M. Sanchez, Xi Li, Sesselja Ómarsdóttir, Brian Murphy, Stefan J. Green, Laura M. Sánchez, Shrikant Mantri and Renata Manconi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecules and Journal of Natural Products.

In The Last Decade

Chase M. Clark

8 papers receiving 133 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chase M. Clark United States	6	88	53	31	26	24	8	134
Christophe Lechaplais France	7	135 1.5×	7 0.1×	16 0.5×	16 0.6×	8 0.3×	9	178
M.S. Cohn United States	9	307 3.5×	23 0.4×	22 0.7×	21 0.8×	10 0.4×	11	344
César Aguilar Mexico	7	200 2.3×	115 2.2×	2 0.1×	24 0.9×	33 1.4×	12	236
Yi Kai Ng Singapore	7	89 1.0×	62 1.2×	1 0.0×	23 0.9×	62 2.6×	10	157
Emma Tilley United Kingdom	6	180 2.0×	67 1.3×	1 0.0×	19 0.7×	14 0.6×	6	209
Daniel A. Rey Germany	6	217 2.5×	15 0.3×	4 0.1×	19 0.7×	17 0.7×	6	253
Vincent Libis France	8	259 2.9×	58 1.1×		57 2.2×	17 0.7×	12	298
Hans‐Dietrich Heilmann Germany	7	74 0.8×	29 0.5×	6 0.2×	8 0.3×	6 0.3×	11	123
Carlos Santana‐Molina Spain	8	150 1.7×	28 0.5×	1 0.0×	37 1.4×	12 0.5×	10	206
Nannan Zhao China	7	136 1.5×	4 0.1×	5 0.2×	6 0.2×	20 0.8×	16	171

Countries citing papers authored by Chase M. Clark

Since Specialization

Citations

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

Fields of papers citing papers by Chase M. Clark

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chase M. Clark

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

All Works

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8 of 8 papers shown

1.

Clark, Chase M., Michael W. Mullowney, Xi Li, et al.. (2022). Relationship between bacterial phylotype and specialized metabolite production in the culturable microbiome of two freshwater sponges. ISME Communications. 2(1). 22–22. 9 indexed citations

2.

Clark, Chase M., Thùy Linh Nguyễn, Van Cuong Pham, Laura M. Sanchez, & Brian T. Murphy. (2022). Automated Microbial Library Generation Using the Bioinformatics Platform IDBac. Molecules. 27(7). 2038–2038. 4 indexed citations

3.

Elfeki, Maryam, Shrikant Mantri, Chase M. Clark, et al.. (2021). Evaluating the Distribution of Bacterial Natural Product Biosynthetic Genes across Lake Huron Sediment. ACS Chemical Biology. 16(11). 2623–2631. 5 indexed citations

4.

Clark, Chase M., et al.. (2019). Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data. Journal of Visualized Experiments. 9 indexed citations

5.

Clark, Chase M., et al.. (2019). Using the Open-Source MALDI TOF-MS IDBac Pipeline for Analysis of Microbial Protein and Specialized Metabolite Data. Journal of Visualized Experiments. 13 indexed citations

6.

Braesel, Jana, Chase M. Clark, Kevin Kunstman, et al.. (2019). Genome Sequence of Marine-Derived Streptomyces sp. Strain F001, a Producer of Akashin A and Diazaquinomycins. Microbiology Resource Announcements. 8(19). 5 indexed citations

7.

Costa, Maria, Chase M. Clark, Sesselja Ómarsdóttir, Laura M. Sanchez, & Brian T. Murphy. (2019). Minimizing Taxonomic and Natural Product Redundancy in Microbial Libraries Using MALDI-TOF MS and the Bioinformatics Pipeline IDBac. Journal of Natural Products. 82(8). 2167–2173. 15 indexed citations

8.

Clark, Chase M., Maria Costa, Laura M. Sanchez, & Brian T. Murphy. (2018). Coupling MALDI-TOF mass spectrometry protein and specialized metabolite analyses to rapidly discriminate bacterial function. Proceedings of the National Academy of Sciences. 115(19). 4981–4986. 74 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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