Grant Morahan

13.4k total citations · 1 hit paper
198 papers, 8.1k citations indexed

About

Grant Morahan is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Grant Morahan has authored 198 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Genetics, 82 papers in Surgery and 73 papers in Molecular Biology. Recurrent topics in Grant Morahan's work include Pancreatic function and diabetes (70 papers), Diabetes and associated disorders (67 papers) and T-cell and B-cell Immunology (30 papers). Grant Morahan is often cited by papers focused on Pancreatic function and diabetes (70 papers), Diabetes and associated disorders (67 papers) and T-cell and B-cell Immunology (30 papers). Grant Morahan collaborates with scholars based in Australia, United States and United Kingdom. Grant Morahan's co-authors include J. F. A. P. Miller, Flemming Pociot, J. F. A. P. Miller, Cécile Julier, John A. Todd, Patrick Concannon, Stephen S. Rich, Jørn Nerup, Leonard C. Harrison and Janette Allison and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Grant Morahan

194 papers receiving 7.9k citations

Hit Papers

Genome-wide association study and meta-analysis find that... 2009 2026 2014 2020 2009 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grant Morahan Australia 46 3.6k 3.0k 2.4k 2.0k 1.6k 198 8.1k
Nora Sarvetnick United States 60 5.2k 1.5× 5.7k 1.9× 3.2k 1.3× 2.5k 1.2× 1.6k 1.0× 197 11.5k
David Serreze United States 54 6.7k 1.9× 5.7k 1.9× 3.8k 1.6× 1.6k 0.8× 2.2k 1.4× 184 10.4k
Matthias von Herrath United States 41 3.0k 0.8× 2.4k 0.8× 2.2k 0.9× 905 0.4× 1.7k 1.1× 141 5.7k
Bart O. Roep Netherlands 67 9.8k 2.7× 6.4k 2.1× 7.3k 3.0× 2.0k 1.0× 5.7k 3.6× 305 16.2k
Dhavalkumar D. Patel United States 42 1.2k 0.3× 3.0k 1.0× 556 0.2× 2.3k 1.1× 508 0.3× 67 6.7k
Silvia Gregori Italy 51 1.6k 0.5× 6.7k 2.2× 920 0.4× 1.3k 0.6× 432 0.3× 137 9.4k
Hans‐Michael Dosch Canada 37 1.0k 0.3× 1.6k 0.5× 698 0.3× 1.2k 0.6× 447 0.3× 117 4.3k
Hyoung Doo Shin South Korea 43 1.6k 0.4× 1.3k 0.4× 647 0.3× 2.4k 1.2× 447 0.3× 307 7.3k
Henk‐Jan Schuurman Netherlands 39 1.4k 0.4× 1.1k 0.4× 2.3k 1.0× 839 0.4× 239 0.2× 185 5.0k
Fred Ramsdell United States 38 1.9k 0.5× 12.7k 4.2× 710 0.3× 2.6k 1.3× 430 0.3× 57 15.3k

Countries citing papers authored by Grant Morahan

Since Specialization
Citations

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

Fields of papers citing papers by Grant Morahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grant Morahan

This figure shows the co-authorship network connecting the top 25 collaborators of Grant Morahan. A scholar is included among the top collaborators of Grant Morahan 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 Grant Morahan. Grant Morahan 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.
Faradmal, Javad, et al.. (2024). Family‐based association of HLA‐DRB1 and DQB1 alleles and haplotypes in a group of Iranian Type 1 diabetes children. HLA. 103(4). e15446–e15446. 2 indexed citations
3.
Kenny, Jacob, Benjamin H. Mullin, W.B. Robertson, et al.. (2023). Age-dependent genetic regulation of osteoarthritis: independent effects of immune system genes. Arthritis Research & Therapy. 25(1). 232–232. 4 indexed citations
4.
Kifer, Domagoj, et al.. (2022). Children at onset of type 1 diabetes show altered N-glycosylation of plasma proteins and IgG. Diabetologia. 65(8). 1315–1327. 21 indexed citations
5.
Keser, Toma, Jerko Štambuk, Domagoj Kifer, et al.. (2022). High-Throughput Human Complement C3 N-Glycoprofiling Identifies Markers of Early Onset Type 1 Diabetes Mellitus in Children. Molecular & Cellular Proteomics. 21(10). 100407–100407. 12 indexed citations
6.
Wei, Xuan, Ling Zhang, Yu Zhang, et al.. (2022). Genetic Mapping of Behavioral Traits Using the Collaborative Cross Resource. International Journal of Molecular Sciences. 24(1). 682–682. 11 indexed citations
7.
Shi, Xiaoshun, Ruidong Li, Allen Chen, et al.. (2021). The first comprehensive database of germline pathogenic variants in East Asian cancer patients. Database. 2021(2021).
8.
Balmer, Lois, Caroline A. O’Leary, Marilyn Menotti‐Raymond, et al.. (2020). Mapping of Diabetes Susceptibility Loci in a Domestic Cat Breed with an Unusually High Incidence of Diabetes Mellitus. Genes. 11(11). 1369–1369. 5 indexed citations
9.
Roth‐Schulze, Alexandra J., Lynne Giles, Cuong D. Tran, et al.. (2019). Gut microbiome dysbiosis and increased intestinal permeability in children with islet autoimmunity and type 1 diabetes: A prospective cohort study. Pediatric Diabetes. 20(5). 574–583. 107 indexed citations
10.
Krištić, Jasminka, et al.. (2019). Fc-linked N-glycosylation of murine IgG1 variants. FEBS Open Bio. 9. 395–395. 1 indexed citations
11.
Jiang, Fang‐Xu & Grant Morahan. (2015). Multipotent pancreas progenitors: Inconclusive but pivotal topic.. UWA Profiles and Research Repository (University of Western Australia). 7(11). 1251–61. 6 indexed citations
12.
Jiang, Fang‐Xu & Grant Morahan. (2014). Pancreatic Stem Cells Remain Unresolved. Stem Cells and Development. 23(23). 2803–2812. 34 indexed citations
13.
Shen, Kaikai, Lili Ji, Bin Lü, et al.. (2014). Andrographolide inhibits tumor angiogenesis via blocking VEGFA/VEGFR2-MAPKs signaling cascade. Chemico-Biological Interactions. 218. 99–106. 44 indexed citations
14.
Morahan, Grant, et al.. (2013). Identifi cation of novel transcription factor genes for pancreas development by directed differentiation of embryonic stem cells. 1 indexed citations
15.
Kang, Hong‐Yo, Lili Ji, Yong‐Qing Yang, et al.. (2012). Proteomic characterization of the possible molecular targets of pyrrolizidine alkaloid isoline-induced hepatotoxicity. Environmental Toxicology and Pharmacology. 34(2). 608–617. 17 indexed citations
16.
Jiang, Fang‐Xu, Munish Mehta, & Grant Morahan. (2010). Quantification of Insulin Gene Expression During Development of Pancreatic Islet Cells. Pancreas. 39(2). 201–208. 12 indexed citations
17.
Burt, Rachel, Laura E. Watkins, Iris K. L. Tan, et al.. (2009). An NZW-Derived Interval on Chromosome 7 Moderates Sialadenitis, But Not Insulitis in Congenic Nonobese Diabetic Mice. The Journal of Immunology. 184(2). 859–868. 7 indexed citations
18.
Dilley, Rodney J., Caroline A. Farrelly, Terri J. Allen, et al.. (2005). Diabetes induces Na/H exchange activity and hypertrophy of rat mesenteric but not basilar arteries. Diabetes Research and Clinical Practice. 70(3). 201–208. 6 indexed citations
19.
Steptoe, Raymond J., Sanda Stankovic, Sash Lopaticki, et al.. (2004). Persistence of recipient lymphocytes in NOD mice after irradiation and bone marrow transplantation. Journal of Autoimmunity. 22(2). 131–138. 25 indexed citations
20.
Miller, J. F. A. P., Grant Morahan, & Ian D. Walker. (1983). T-cell antigen receptors: fact and artefact. Immunology Today. 4(5). 141–143. 7 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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