Paul Kearney

1.2k total citations
25 papers, 578 citations indexed

About

Paul Kearney is a scholar working on Molecular Biology, Spectroscopy and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Paul Kearney has authored 25 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Spectroscopy and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Paul Kearney's work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Paul Kearney is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (6 papers) and Lung Cancer Diagnosis and Treatment (5 papers). Paul Kearney collaborates with scholars based in United States, Canada and United Kingdom. Paul Kearney's co-authors include Pierre Thibault, Anil Vachani, Kenneth C. Fang, Gerard A. Silvestri, Nichole T. Tanner, Jyoti Aggarwal, Gregory B. Diette, Eustache Paramithiotis, Michael K. Gould and Clive Hayward and has published in prestigious journals such as PLoS ONE, Endocrinology and CHEST Journal.

In The Last Decade

Paul Kearney

23 papers receiving 558 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Kearney United States	13	192	176	109	89	79	25	578
Elisabet Carlsohn Sweden	10	38 0.2×	409 2.3×	174 1.6×	54 0.6×	50 0.6×	14	646
Poonam Gautam India	15	116 0.6×	319 1.8×	75 0.7×	14 0.2×	66 0.8×	38	676
Michel Pontet France	14	48 0.3×	235 1.3×	50 0.5×	35 0.4×	58 0.7×	26	529
Saroj Kant Mohapatra India	12	41 0.2×	383 2.2×	22 0.2×	119 1.3×	81 1.0×	21	666
Julia Tait Lathrop United States	12	43 0.2×	636 3.6×	166 1.5×	99 1.1×	49 0.6×	17	910
Dennis Blank Germany	9	73 0.4×	533 3.0×	131 1.2×	260 2.9×	20 0.3×	9	792
Matthew Laver Australia	4	29 0.2×	122 0.7×	80 0.7×	59 0.7×	32 0.4×	6	379
Swe Swe Myint United Kingdom	12	76 0.4×	190 1.1×	10 0.1×	79 0.9×	134 1.7×	35	513
Martin Fitzpatrick United Kingdom	12	62 0.3×	267 1.5×	80 0.7×	19 0.2×	95 1.2×	19	510
Gregory B. Wilson United States	13	153 0.8×	165 0.9×	11 0.1×	43 0.5×	33 0.4×	31	482

Countries citing papers authored by Paul Kearney

Since Specialization

Citations

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

Fields of papers citing papers by Paul Kearney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Kearney

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Kearney. A scholar is included among the top collaborators of Paul Kearney 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 Paul Kearney. Paul Kearney 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:

20 of 20 papers shown

Suárez‐Fariñas, Mayte, Maria Suprun, Paul Kearney, et al.. (2021). Accurate and reproducible diagnosis of peanut allergy using epitope mapping. Allergy. 76(12). 3789–3797. 50 indexed citations

Turner, Paul, Nandinee Patel, Dianne E. Campbell, et al.. (2020). Increase in IgG4 following Peanut Oral Immunotherapy is primarily limited to a single specific epitope against Ara h 2. Journal of Allergy and Clinical Immunology. 145(2). AB339–AB339. 1 indexed citations

Kearney, Paul, J. Jay Boniface, Nathan D. Price, & Leroy Hood. (2018). The building blocks of successful translation of proteomics to the clinic. Current Opinion in Biotechnology. 51. 123–129. 29 indexed citations

Bradford, Chad, Marija Mentinova, Daniel Chelsky, et al.. (2017). Analytical validation of protein biomarkers for risk of spontaneous preterm birth. PubMed. 3. 25–38. 11 indexed citations

Kearney, Paul, et al.. (2017). An integrated risk predictor for pulmonary nodules. PLoS ONE. 12(5). e0177635–e0177635. 14 indexed citations

Tanner, Nichole T., Jyoti Aggarwal, Michael K. Gould, et al.. (2015). Management of Pulmonary Nodules by Community Pulmonologists. CHEST Journal. 148(6). 1405–1414. 96 indexed citations

Li, Xiaojun, Lik Wee Lee, Clive Hayward, et al.. (2015). An integrated quantification method to increase the precision, robustness, and resolution of protein measurement in human plasma samples. Clinical Proteomics. 12(1). 3–3. 11 indexed citations

Vachani, Anil, Harvey I. Pass, William N. Rom, et al.. (2015). Validation of a Multiprotein Plasma Classifier to Identify Benign Lung Nodules. Journal of Thoracic Oncology. 10(4). 629–637. 48 indexed citations

Vachani, Anil, Zane T. Hammoud, Steven C. Springmeyer, et al.. (2015). Clinical Utility of a Plasma Protein Classifier for Indeterminate Lung Nodules. Lung. 193(6). 1023–1027. 26 indexed citations

10.

Boggess, Kim, George R. Saade, Scott Sullivan, et al.. (2015). 193: Verification of a proteomic serum-based classifier to predict spontaneous preterm birth in asymptomatic patients. American Journal of Obstetrics and Gynecology. 214(1). S119–S119.

11.

Vachani, Anil, Nichole T. Tanner, Jyoti Aggarwal, et al.. (2014). Factors That Influence Physician Decision Making for Indeterminate Pulmonary Nodules. Annals of the American Thoracic Society. 11(10). 1586–1591. 23 indexed citations

12.

Diette, Gregory B., Anil Vachani, Nichole T. Tanner, et al.. (2013). Factors That Influence Physician Decision-Making for Indeterminate Pulmonary Nodules. CHEST Journal. 144(4). 647A–647A. 1 indexed citations

13.

Smith, Sian K., Paul Kearney, Lyndal Trevena, et al.. (2012). Informed choice in bowel cancer screening: a qualitative study to explore how adults with lower education use decision aids. Health Expectations. 17(4). 511–522. 18 indexed citations

14.

Kearney, Paul, Nathan Currier, Daniel Chelsky, et al.. (2008). Global Proteomics: Pharmacodynamic Decision Making via Geometric Interpretations of Proteomic Analyses. Journal of Proteomics & Bioinformatics. 1(7). 315–328. 7 indexed citations

15.

Jutras, Isabelle, Mathieu Houde, Nathan Currier, et al.. (2007). Modulation of the Phagosome Proteome by Interferon-γ. Molecular & Cellular Proteomics. 7(4). 697–715. 62 indexed citations

16.

Butler, Heather, Michael Schirm, Daniel Chelsky, et al.. (2007). An evaluation of multidimensional fingerprinting in the context of clinical proteomics. PROTEOMICS - CLINICAL APPLICATIONS. 1(5). 457–466. 2 indexed citations

17.

Follettie, Maximillian T., Marc Pinard, James C. Keith, et al.. (2005). Organ Messenger Ribonucleic Acid and Plasma Proteome Changes in the Adjuvant-Induced Arthritis Model: Responses to Disease Induction and Therapy with the Estrogen Receptor-β Selective Agonist ERB-041. Endocrinology. 147(2). 714–723. 39 indexed citations

18.

Brown, Daniel G., et al.. (2005). THE USE OF FUNCTIONAL DOMAINS TO IMPROVE TRANSMEMBRANE PROTEIN TOPOLOGY PREDICTION. 105–116. 1 indexed citations

19.

Brunet, Sylvain, Pierre Thibault, Étienne Gagnon, et al.. (2004). Organelle proteomics: looking at less to see more.. PubMed. 9(2 Suppl). S8–18. 2 indexed citations

20.

Kearney, Paul & Pierre Thibault. (2003). BIOINFORMATICS MEETS PROTEOMICS — BRIDGING THE GAP BETWEEN MASS SPECTROMETRY DATA ANALYSIS AND CELL BIOLOGY. Journal of Bioinformatics and Computational Biology. 1(1). 183–200. 49 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