Kevin Conlon

711 total citations
21 papers, 458 citations indexed

About

Kevin Conlon is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Kevin Conlon has authored 21 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Kevin Conlon's work include Lymphoma Diagnosis and Treatment (5 papers), RNA modifications and cancer (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Kevin Conlon is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), RNA modifications and cancer (4 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Kevin Conlon collaborates with scholars based in United States, Ireland and France. Kevin Conlon's co-authors include Venkatesha Basrur, Kojo S.J. Elenitoba‐Johnson, Megan S. Lim, Damian Fermin, Annemarie Larkin, Niall Swan, Martin Clynes, Paul Dowling, Delphine Rolland and Naomi Walsh and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Kevin Conlon

18 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Conlon United States 11 315 89 85 73 59 21 458
Lie Di United States 10 481 1.5× 79 0.9× 185 2.2× 52 0.7× 47 0.8× 12 706
Emanuela Pupo Italy 9 303 1.0× 118 1.3× 54 0.6× 29 0.4× 47 0.8× 11 505
Jae Hwi Song South Korea 16 388 1.2× 131 1.5× 42 0.5× 52 0.7× 20 0.3× 27 568
Paul Jank Germany 11 203 0.6× 137 1.5× 33 0.4× 32 0.4× 20 0.3× 37 425
Sung‐Hye Hong South Korea 10 382 1.2× 124 1.4× 34 0.4× 43 0.6× 33 0.6× 10 577
Bomie Han United States 15 605 1.9× 142 1.6× 40 0.5× 18 0.2× 40 0.7× 24 827
Helen Callanan United States 10 227 0.7× 239 2.7× 41 0.5× 83 1.1× 84 1.4× 16 537
Can‐E Tang China 14 386 1.2× 122 1.4× 38 0.4× 48 0.7× 16 0.3× 36 571
Angelique van Rijswijk Netherlands 7 383 1.2× 32 0.4× 68 0.8× 29 0.4× 13 0.2× 10 480
Jennifer R. Bethard United States 12 262 0.8× 60 0.7× 40 0.5× 42 0.6× 10 0.2× 24 467

Countries citing papers authored by Kevin Conlon

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Conlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Conlon

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

All Works

20 of 20 papers shown
1.
Toale, Conor, et al.. (2024). Management of patients with adrenal myelolipoma: experience from a tertiary referral centre. Irish Journal of Medical Science (1971 -). 193(6). 2941–2947.
2.
Kumar, Ritesh, Jianyi Yin, John F. Brooks, et al.. (2023). RORγt-Raftlin1 complex regulates the pathogenicity of Th17 cells and colonic inflammation. Nature Communications. 14(1). 4972–4972. 3 indexed citations
3.
Zhang, Yuan, M. Rebecca Glineburg, Venkatesha Basrur, et al.. (2022). Mechanistic convergence across initiation sites for RAN translation in fragile X associated tremor ataxia syndrome. Human Molecular Genetics. 31(14). 2317–2332. 7 indexed citations
4.
Moore, D., Ben Creavin, Éanna J. Ryan, et al.. (2022). Correction to: Surgical management of abdominal desmoids: a systematic review and meta‑analysis. Irish Journal of Medical Science (1971 -). 192(2). 967–967.
5.
Korwar, Arvind M., Ayaan Hossain, Ashley E. Shay, et al.. (2021). Selenium-dependent metabolic reprogramming during inflammation and resolution. Journal of Biological Chemistry. 296. 100410–100410. 18 indexed citations
6.
Park, Sung Soo, Daniela Ponce‐Balbuena, Rork Kuick, et al.. (2020). Kir2.1 Interactome Mapping Uncovers PKP4 as a Modulator of the Kir2.1-Regulated Inward Rectifier Potassium Currents. Molecular & Cellular Proteomics. 19(9). 1436–1449. 21 indexed citations
7.
Griffin, Oonagh, Ronan Ryan, Shane P. Duggan, Justin Geoghegan, & Kevin Conlon. (2019). Body composition change during chemotherapy for borderline resectable pancreatic cancer. HPB. 21. S977–S977. 1 indexed citations
8.
Khare, Prashant, Abeer Obaid, Kevin Conlon, et al.. (2018). SUMOylation of ROR-γt inhibits IL-17 expression and inflammation via HDAC2. Nature Communications. 9(1). 4515–4515. 51 indexed citations
10.
Rolland, Delphine, Venkatesha Basrur, Yoon‐Kyung Jeon, et al.. (2017). Functional proteogenomics reveals biomarkers and therapeutic targets in lymphomas. Proceedings of the National Academy of Sciences. 114(25). 6581–6586. 41 indexed citations
11.
Rolland, Delphine, Thirunavukkarasu Velusamy, Steven R. Hwang, et al.. (2015). NPM-ALK Mediated Tyrosine Phosphorylation of ATP Citrate Lyase Regulates Lipid Metabolism and Promotes Oncogenesis of Anaplastic Large Cell Lymphoma. Blood. 126(23). 465–465. 2 indexed citations
12.
El‐Mallawany, Nader Kim, Nancy S. Day, Janet Ayello, et al.. (2014). Differential proteomic analysis of endemic and sporadic Epstein–Barr virus-positive and negative Burkitt lymphoma. European Journal of Cancer. 51(1). 92–100. 15 indexed citations
13.
Rolland, Delphine, Venkatesha Basrur, Kevin Conlon, et al.. (2014). Global Phosphoproteomic Profiling Reveals Distinct Signatures in B-Cell Non-Hodgkin Lymphomas. American Journal Of Pathology. 184(5). 1331–1342. 25 indexed citations
15.
Conlon, Kevin, Venkatesha Basrur, Delphine Rolland, et al.. (2013). Fusion Peptides from Oncogenic Chimeric Proteins as Putative Specific Biomarkers of Cancer. Molecular & Cellular Proteomics. 12(10). 2714–2723. 12 indexed citations
16.
McDonnell, Scott R., Steven R. Hwang, Delphine Rolland, et al.. (2013). Integrated phosphoproteomic and metabolomic profiling reveals NPM-ALK–mediated phosphorylation of PKM2 and metabolic reprogramming in anaplastic large cell lymphoma. Blood. 122(6). 958–968. 57 indexed citations
17.
Walsh, Naomi, Annemarie Larkin, Niall Swan, et al.. (2011). RNAi knockdown of Hop (Hsp70/Hsp90 organising protein) decreases invasion via MMP-2 down regulation. Cancer Letters. 306(2). 180–189. 76 indexed citations
18.
McDonnell, Scott R., Steven R. Hwang, Venkatesha Basrur, et al.. (2011). NPM-ALK signals through glycogen synthase kinase 3β to promote oncogenesis. Oncogene. 31(32). 3733–3740. 29 indexed citations
19.
Todi, Sokol V., K. Matthew Scaglione, Jessica R. Blount, et al.. (2010). Activity and Cellular Functions of the Deubiquitinating Enzyme and Polyglutamine Disease Protein Ataxin-3 Are Regulated by Ubiquitination at Lysine 117. Journal of Biological Chemistry. 285(50). 39303–39313. 80 indexed citations
20.
Fermin, Damian, Venkatesha Basrur, Kevin Conlon, et al.. (2008). Quantitative Proteomic Identification of Novel Diagnostic Biomarkers and Therapeutic Targets for Classical Hodgkin Lymphoma.. Blood. 112(11). 1462–1462.

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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