Jason Cochran

402 total citations
3 papers, 280 citations indexed

About

Jason Cochran is a scholar working on Molecular Biology, Physiology and Spectroscopy. According to data from OpenAlex, Jason Cochran has authored 3 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Physiology and 2 papers in Spectroscopy. Recurrent topics in Jason Cochran's work include Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Aquaculture disease management and microbiota (1 paper). Jason Cochran is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Aquaculture disease management and microbiota (1 paper). Jason Cochran collaborates with scholars based in United States, Russia and South Africa. Jason Cochran's co-authors include Timothy J. Garrett, John A. Bowden, Jeremy P. Koelmel, Candice Z. Ulmer, Richard A. Yost, R. E. Patterson, Nicholas Kroeger, Chris Beecher, Korin Albert and Theresa Guillette and has published in prestigious journals such as BMC Bioinformatics and Metabolomics.

In The Last Decade

Jason Cochran

3 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason Cochran United States	3	213	107	33	29	21	3	280
Harald Schoeny Austria	9	349 1.6×	184 1.7×	24 0.7×	12 0.4×	10 0.5×	17	419
Georgia Angelidou Germany	8	224 1.1×	92 0.9×	43 1.3×	30 1.0×	18 0.9×	18	302
Avalyn Stanislaus Canada	4	244 1.1×	73 0.7×	8 0.2×	17 0.6×	13 0.6×	7	309
Sydney Dautel United States	7	182 0.9×	101 0.9×	11 0.3×	27 0.9×	13 0.6×	8	366
Aike Jeucken Netherlands	9	263 1.2×	42 0.4×	25 0.8×	21 0.7×	17 0.8×	11	373
Marianne Sandin Sweden	11	272 1.3×	160 1.5×	9 0.3×	39 1.3×	10 0.5×	12	490
Hamid Baniasadi United States	9	272 1.3×	36 0.3×	17 0.5×	39 1.3×	5 0.2×	16	350
Gek Huey Chua Singapore	9	260 1.2×	36 0.3×	47 1.4×	63 2.2×	16 0.8×	12	374
Felice A. de Jong Australia	8	163 0.8×	39 0.4×	12 0.4×	37 1.3×	47 2.2×	10	350
Élodie Jobard France	9	260 1.2×	54 0.5×	9 0.3×	25 0.9×	11 0.5×	10	348

Countries citing papers authored by Jason Cochran

Since Specialization

Citations

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

Fields of papers citing papers by Jason Cochran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Cochran

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

All Works

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3 of 3 papers shown

1.

Koelmel, Jeremy P., Jason Cochran, Candice Z. Ulmer, et al.. (2019). Software tool for internal standard based normalization of lipids, and effect of data-processing strategies on resulting values. BMC Bioinformatics. 20(1). 217–217. 23 indexed citations

2.

Koelmel, Jeremy P., Candice Z. Ulmer, Christina M. Jones, et al.. (2019). Lipidomics for wildlife disease etiology and biomarker discovery: a case study of pansteatitis outbreak in South Africa. Metabolomics. 15(3). 38–38. 10 indexed citations

3.

Koelmel, Jeremy P., Nicholas Kroeger, Candice Z. Ulmer, et al.. (2017). LipidMatch: an automated workflow for rule-based lipid identification using untargeted high-resolution tandem mass spectrometry data. BMC Bioinformatics. 18(1). 331–331. 247 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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