Joel A. Kooren

503 total citations
5 papers, 355 citations indexed

About

Joel A. Kooren is a scholar working on Molecular Biology, Spectroscopy and Periodontics. According to data from OpenAlex, Joel A. Kooren has authored 5 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Spectroscopy and 2 papers in Periodontics. Recurrent topics in Joel A. Kooren's work include Advanced Proteomics Techniques and Applications (3 papers), Machine Learning in Bioinformatics (2 papers) and Genomics and Phylogenetic Studies (2 papers). Joel A. Kooren is often cited by papers focused on Advanced Proteomics Techniques and Applications (3 papers), Machine Learning in Bioinformatics (2 papers) and Genomics and Phylogenetic Studies (2 papers). Joel A. Kooren collaborates with scholars based in United States and China. Joel A. Kooren's co-authors include Timothy J. Griffin, Pratik Jagtap, Thomas McGowan, Sean L. Seymour, Nelson L. Rhodus, James E. Johnson, Shaun Stewart, Joel Rudney, Kevin Murray and Frank G. Ondrey and has published in prestigious journals such as PLoS ONE, American Journal of Physiology-Heart and Circulatory Physiology and PROTEOMICS.

In The Last Decade

Joel A. Kooren

5 papers receiving 345 citations

Peers

Joel A. Kooren

MB

SPECT

PHYSI

PERIO

ECOLO

Luis A. Bejarano Spain

Karen Culotta France

Salvo Paesano Switzerland

Vanessa Lakis Australia

Qiangmin Zhang United States

Subina Mehta United States

Zaaima AL-Jabri Oman

Michael Athanas United States

Sydney Dautel United States

Luis A. Bejarano Spain

Joel A. Kooren

258 ×1.1

MB

4 ×0.0

SPECT

52 ×0.7

PHYSI

110 ×1.7

PERIO

14 ×0.3

ECOLO

Citations per year, relative to Joel A. Kooren Joel A. Kooren (= 1×) peers Luis A. Bejarano

Countries citing papers authored by Joel A. Kooren

Since Specialization

Citations

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

Fields of papers citing papers by Joel A. Kooren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel A. Kooren. 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 Joel A. Kooren. The network helps show where Joel A. Kooren may publish in the future.

Co-authorship network of co-authors of Joel A. Kooren

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

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Andres, Allen M., Joel A. Kooren, Sarah J. Parker, et al.. (2016). Discordant signaling and autophagy response to fasting in hearts of obese mice: Implications for ischemia tolerance. American Journal of Physiology-Heart and Circulatory Physiology. 311(1). H219–H228. 28 indexed citations

2.

Jagtap, Pratik, Kevin Murray, Shaun Stewart, et al.. (2015). Metaproteomic analysis using the Galaxy framework. PROTEOMICS. 15(20). 3553–3565. 66 indexed citations

3.

Jagtap, Pratik, et al.. (2013). A two‐step database search method improves sensitivity in peptide sequence matches for metaproteomics and proteogenomics studies. PROTEOMICS. 13(8). 1352–1357. 161 indexed citations

4.

Kooren, Joel A., et al.. (2011). Evaluating the potential of a novel oral lesion exudate collection method coupled with mass spectrometry-based proteomics for oral cancer biomarker discovery. Clinical Proteomics. 8(1). 13–13. 16 indexed citations

5.

Jong, Ebbing P. de, Hongwei Xie, Getiria Onsongo, et al.. (2010). Quantitative Proteomics Reveals Myosin and Actin as Promising Saliva Biomarkers for Distinguishing Pre-Malignant and Malignant Oral Lesions. PLoS ONE. 5(6). e11148–e11148. 84 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.

Explore authors with similar magnitude of impact