S. Conlon

411 total citations
10 papers, 337 citations indexed

About

S. Conlon is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, S. Conlon has authored 10 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in S. Conlon's work include RNA Interference and Gene Delivery (2 papers), Chemokine receptors and signaling (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). S. Conlon is often cited by papers focused on RNA Interference and Gene Delivery (2 papers), Chemokine receptors and signaling (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). S. Conlon collaborates with scholars based in United States, Ireland and United Kingdom. S. Conlon's co-authors include Robert Pollack, R Risser, Daniel B. Rifkin, Stephen C. West, Era Cassuto, Paul Howard-Flanders, Patrick G. Johnston, Elaine W. Kay, Kirk J. Levins and Richard H. Wilson and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

S. Conlon

8 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Conlon United States 6 179 100 90 53 42 10 337
Eric Gobin France 9 186 1.0× 143 1.4× 48 0.5× 90 1.7× 47 1.1× 13 405
Jian Ren Gu China 11 208 1.2× 47 0.5× 30 0.3× 39 0.7× 61 1.5× 17 325
Jennie Rowell United States 5 159 0.9× 76 0.8× 134 1.5× 40 0.8× 51 1.2× 7 382
Dominique Poujol France 9 231 1.3× 157 1.6× 61 0.7× 36 0.7× 267 6.4× 12 501
Berna Uygur United States 8 303 1.7× 148 1.5× 41 0.5× 84 1.6× 63 1.5× 10 471
Mamatha Seethammagari United States 11 202 1.1× 137 1.4× 37 0.4× 30 0.6× 218 5.2× 12 417
Mónica Martínez‐Moreno Spain 12 243 1.4× 120 1.2× 38 0.4× 39 0.7× 126 3.0× 13 474
Oleksandr Kondratov United States 12 342 1.9× 76 0.8× 209 2.3× 63 1.2× 14 0.3× 22 444
Young Ho Ban South Korea 7 317 1.8× 141 1.4× 94 1.0× 49 0.9× 221 5.3× 11 577
A. Scott United States 6 139 0.8× 46 0.5× 160 1.8× 23 0.4× 25 0.6× 8 313

Countries citing papers authored by S. Conlon

Since Specialization
Citations

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

Fields of papers citing papers by S. Conlon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Conlon

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

All Works

10 of 10 papers shown
1.
Masárová, Lucia, Srđan Verstovšek, Francesca Palandri, et al.. (2025). Indirect treatment comparison of momelotinib vs fedratinib safety in patients with myelofibrosis. Future Oncology. 21(16). 2077–2087.
2.
Masárová, Lucia, Srđan Verstovšek, Francesca Palandri, et al.. (2023). Indirect treatment comparison (ITC) of momelotinib (MMB) vs fedratinib (FED) safety in patients (pts) with myelofibrosis (MF).. Journal of Clinical Oncology. 41(16_suppl). 7065–7065. 2 indexed citations
3.
Levins, Kirk J., Susan Prendeville, S. Conlon, & Donal J. Buggy. (2018). The effect of anesthetic technique on µ-opioid receptor expression and immune cell infiltration in breast cancer. Journal of Anesthesia. 32(6). 792–796. 29 indexed citations
4.
Parrà, Héctor Soto, S. Conlon, Jasmin Schmid, et al.. (2012). Apoptosome-dependent caspase activation proteins as prognostic markers in Stage II and III colorectal cancer. British Journal of Cancer. 106(9). 1499–1505. 19 indexed citations
5.
Conlon, S., A O’Grady, Colin Purcell, et al.. (2011). The expression and prognostic impact of CXC-chemokines in stage II and III colorectal cancer epithelial and stromal tissue. British Journal of Cancer. 104(3). 480–487. 72 indexed citations
6.
Conlon, S., et al.. (2008). Collagenous colitis as a possible cause of toxic megacolon. Irish Journal of Medical Science (1971 -). 178(1). 115–117. 4 indexed citations
7.
Conlon, S., et al.. (2005). Primary Hepatic Lymphoma.. PubMed. 98(8). 244–6.
8.
Cassuto, Era, et al.. (1980). Initiation of genetic recombination: homologous pairing between duplex DNA molecules promoted by recA protein.. Proceedings of the National Academy of Sciences. 77(7). 3962–3966. 77 indexed citations
9.
Pollack, Robert, Robert D. Goldman, S. Conlon, & Cecile Chang. (1974). Properties of enucleated cells: II. Characteristic overlapping of transformed cells is reestablished by enucleates. Cell. 3(1). 51–54. 6 indexed citations
10.
Pollack, Robert, R Risser, S. Conlon, & Daniel B. Rifkin. (1974). Plasminogen Activator Production Accompanies Loss of Anchorage Regulation in Transformation of Primary Rat Embryo Cells by Simian Virus 40. Proceedings of the National Academy of Sciences. 71(12). 4792–4796. 128 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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