Inish O’Doherty

1.2k total citations
16 papers, 510 citations indexed

About

Inish O’Doherty is a scholar working on Surgery, Transplantation and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Inish O’Doherty has authored 16 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Transplantation and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Inish O’Doherty's work include Renal Transplantation Outcomes and Treatments (6 papers), Diabetes Management and Research (4 papers) and Diabetes and associated disorders (4 papers). Inish O’Doherty is often cited by papers focused on Renal Transplantation Outcomes and Treatments (6 papers), Diabetes Management and Research (4 papers) and Diabetes and associated disorders (4 papers). Inish O’Doherty collaborates with scholars based in United States, Canada and Finland. Inish O’Doherty's co-authors include Frank C. Schroeder, Axel Bethke, Ujendra Kumar, R.K. Somvanshi, Donald L Riddle, Christopher R. Clarke, Sarah R. Hind, Diane Dunham, Elise G. Viox and Joshua A. Baccile and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Diabetologia and Organic Letters.

In The Last Decade

Inish O’Doherty

16 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Inish O’Doherty United States	10	244	135	68	57	47	16	510
Balaji Santhanam United States	14	45 0.2×	315 2.3×	26 0.4×	28 0.5×		20	514
Jana Šťastná Czechia	12	66 0.3×	174 1.3×	87 1.3×	12 0.2×		44	411
Xingyu She United States	5	54 0.2×	263 1.9×	222 3.3×	18 0.3×		6	417
Gargi Bhattacharyya United States	9	69 0.3×	325 2.4×	26 0.4×	8 0.1×		12	471
Laura Fontrodona Spain	10	52 0.2×	271 2.0×	228 3.4×	5 0.1×		12	481
Daniel B. Magner United States	12	69 0.3×	417 3.1×	273 4.0×	7 0.1×		15	746
Silvia Rossi Argentina	15	63 0.3×	376 2.8×	8 0.1×	20 0.4×		43	643
Sandra Müller Germany	15	44 0.2×	276 2.0×	23 0.3×	15 0.3×		19	502
A.M. Childress United States	7	79 0.3×	294 2.2×	195 2.9×	8 0.1×		10	453
Byung-Jae Park South Korea	10	39 0.2×	181 1.3×	167 2.5×	3 0.1×		13	366

Countries citing papers authored by Inish O’Doherty

Since Specialization

Citations

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

Fields of papers citing papers by Inish O’Doherty

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inish O’Doherty. 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 Inish O’Doherty. The network helps show where Inish O’Doherty may publish in the future.

Co-authorship network of co-authors of Inish O’Doherty

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

All Works

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16 of 16 papers shown

Podichetty, Jagdeep T., Jackson Burton, Stephan Schmidt, et al.. (2024). Type 1 diabetes prevention clinical trial simulator: Case reports of model‐informed drug development tool. CPT Pharmacometrics & Systems Pharmacology. 13(8). 1309–1316. 5 indexed citations

Klein, Amanda, Alexandre Loupy, Mark D. Stegall, et al.. (2023). Qualifying a novel clinical trial endpoint (iBOX) predictive of long-term kidney transplant outcomes. American Journal of Transplantation. 23(10). 1496–1506. 14 indexed citations

Klein, Amanda, Alexandre Loupy, Mark D. Stegall, et al.. (2023). Qualifying a Novel Clinical Trial Endpoint (iBOX) Predictive of Long-Term Kidney Transplant Outcomes. Transplant International. 36. 11951–11951. 8 indexed citations

Podichetty, Jagdeep T., Jackson Burton, Patrick Lang, et al.. (2023). Disease progression joint model predicts time to type 1 diabetes onset: Optimizing future type 1 diabetes prevention studies. CPT Pharmacometrics & Systems Pharmacology. 12(7). 1016–1028. 11 indexed citations

Frey, Eric C., Amanda Klein, Inish O’Doherty, et al.. (2023). Longitudinal estimated glomerular filtration rate (eGFR) modeling in long‐term renal function to inform clinical trial design in kidney transplantation. Clinical and Translational Science. 16(9). 1680–1690. 3 indexed citations

Dunne, Jessica L., et al.. (2022). Consortium-based approach to receiving an EMA qualification opinion on the use of islet autoantibodies as enrichment biomarkers in type 1 diabetes clinical studies. Diabetologia. 66(3). 415–424. 5 indexed citations

Podichetty, Jagdeep T., et al.. (2022). Leveraging Real‐World Data for EMA Qualification of a Model‐Based Biomarker Tool to Optimize Type‐1 Diabetes Prevention Studies. Clinical Pharmacology & Therapeutics. 111(5). 1133–1141. 5 indexed citations

Mullin, Ariana P., Inish O’Doherty, Lynn D. Hudson, et al.. (2021). Effective Data Sharing as a Conduit for Advancing Medical Product Development. Therapeutic Innovation & Regulatory Science. 55(3). 591–600. 19 indexed citations

Klein, Amanda, Rita R. Alloway, Renata Albrecht, et al.. (2021). The Role of Patient-reported Outcomes and Medication Adherence Assessment in Patient-focused Drug Development for Solid Organ Transplantation. Transplantation. 105(5). 941–944. 6 indexed citations

10.

Mannon, Roslyn B., Randall E. Morris, Michaël Abécassis, et al.. (2020). Use of biomarkers to improve immunosuppressive drug development and outcomes in renal organ transplantation: A meeting report. American Journal of Transplantation. 20(6). 1495–1502. 12 indexed citations

11.

Stegall, Mark D., Matthew J. Everly, Roslyn B. Mannon, et al.. (2018). The importance of drug safety and tolerability in the development of new immunosuppressive therapy for transplant recipients: The Transplant Therapeutics Consortium’s position statement. American Journal of Transplantation. 19(3). 625–632. 12 indexed citations

12.

Hind, Sarah R., Susan R. Strickler, Diane Dunham, et al.. (2016). Tomato receptor FLAGELLIN-SENSING 3 binds flgII-28 and activates the plant immune system. Nature Plants. 2(9). 16128–16128. 144 indexed citations

13.

Fadeyi, Olugbeminiyi, Mihir D. Parikh, Robert E. Kyne, et al.. (2016). Chemoselective Preparation of Clickable Aryl Sulfonyl Fluoride Monomers: A Toolbox of Highly Functionalized Intermediates for Chemical Biology Probe Synthesis. ChemBioChem. 17(20). 1925–1930. 46 indexed citations

14.

Manohar, Murli, Miaoying Tian, Magali Moreau, et al.. (2015). Identification of multiple salicylic acid-binding proteins using two high throughput screens. Frontiers in Plant Science. 5. 777–777. 113 indexed citations

15.

O’Doherty, Inish, R.K. Somvanshi, Axel Bethke, et al.. (2012). Interaction of structure-specific and promiscuous G-protein–coupled receptors mediates small-molecule signaling in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 109(25). 9917–9922. 86 indexed citations

16.

O’Doherty, Inish, Joshua J. Yim, Eric A. Schmelz, & Frank C. Schroeder. (2011). Synthesis of Caeliferins, Elicitors of Plant Immune Responses: Accessing Lipophilic Natural Products via Cross Metathesis. Organic Letters. 13(21). 5900–5903. 21 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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