Richard McIndoe

5.0k total citations · 1 hit paper
63 papers, 2.8k citations indexed

About

Richard McIndoe is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Richard McIndoe has authored 63 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Immunology and 13 papers in Physiology. Recurrent topics in Richard McIndoe's work include Pancreatic function and diabetes (10 papers), Gene expression and cancer classification (9 papers) and Immune Cell Function and Interaction (8 papers). Richard McIndoe is often cited by papers focused on Pancreatic function and diabetes (10 papers), Gene expression and cancer classification (9 papers) and Immune Cell Function and Interaction (8 papers). Richard McIndoe collaborates with scholars based in United States, Sweden and Finland. Richard McIndoe's co-authors include Jin‐Xiong She, Sarah Eckenrode, Leroy Hood, Takamune Takahashi, Moshe Levi, Thomas M. Coffman, Susan B. Gurley, Frank C. Brosius, Katalin Suszták and Charles E. Alpers and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Richard McIndoe

61 papers receiving 2.7k citations

Hit Papers

Mouse Models of Diabetic Nephropathy 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard McIndoe United States 23 1.0k 696 567 375 340 63 2.8k
Tadashi Yamamoto Japan 30 1.9k 1.8× 340 0.5× 312 0.6× 220 0.6× 655 1.9× 94 3.3k
Hidechika Okada Japan 32 987 0.9× 1.7k 2.4× 332 0.6× 499 1.3× 352 1.0× 142 3.7k
Hideki Wakui Japan 26 1.3k 1.2× 453 0.7× 185 0.3× 240 0.6× 739 2.2× 160 2.7k
Martin J. Hessner United States 36 1.1k 1.1× 1.6k 2.3× 892 1.6× 271 0.7× 73 0.2× 120 4.0k
Masaaki Muramatsu Japan 39 2.2k 2.1× 571 0.8× 616 1.1× 695 1.9× 85 0.3× 161 5.1k
Yoshiki Kawabe Japan 38 1.4k 1.4× 1.2k 1.8× 217 0.4× 456 1.2× 221 0.7× 119 4.4k
Gaétan Mayer Canada 28 1.2k 1.2× 359 0.5× 334 0.6× 281 0.7× 583 1.7× 65 3.3k
Kuo-Jang Kao United States 31 707 0.7× 679 1.0× 466 0.8× 137 0.4× 69 0.2× 84 3.1k
Mitsuhiro Matsuda Japan 25 1.1k 1.1× 458 0.7× 126 0.2× 235 0.6× 562 1.7× 109 2.6k
Stephen H. Powis United Kingdom 34 1.5k 1.5× 2.0k 2.9× 465 0.8× 333 0.9× 296 0.9× 70 4.5k

Countries citing papers authored by Richard McIndoe

Since Specialization
Citations

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

Fields of papers citing papers by Richard McIndoe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard McIndoe

This figure shows the co-authorship network connecting the top 25 collaborators of Richard McIndoe. A scholar is included among the top collaborators of Richard McIndoe 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 Richard McIndoe. Richard McIndoe 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.
Warncke, Katharina, Roy Tamura, Desmond Schatz, et al.. (2024). The Influence of Pubertal Development on Autoantibody Appearance and Progression to Type 1 Diabetes in the TEDDY Study. Journal of the Endocrine Society. 8(7). bvae103–bvae103.
2.
Laughlin, Maren R., Richard McIndoe, Sean H. Adams, et al.. (2024). The mouse metabolic phenotyping center (MMPC) live consortium: an NIH resource for in vivo characterization of mouse models of diabetes and obesity. Mammalian Genome. 35(4). 485–496. 2 indexed citations
3.
Vernon, Marlo, Bunja Rungruang, Robert V. Higgins, et al.. (2024). Nutrition's checkpoint inhibition: The impact of nutrition on immunotherapy outcomes. Gynecologic Oncology. 189. 129–136. 4 indexed citations
4.
Aronsson, Carin Andrén, Roy Tamura, Kendra Vehik, et al.. (2023). Dietary Intake and Body Mass Index Influence the Risk of Islet Autoimmunity in Genetically At-Risk Children: A Mediation Analysis Using the TEDDY Cohort. Pediatric Diabetes. 2023. 1–11. 7 indexed citations
5.
Li, Jiaqi, Hongyan Xu, & Richard McIndoe. (2022). A novel network based linear model for prioritization of synergistic drug combinations. PLoS ONE. 17(4). e0266382–e0266382. 7 indexed citations
6.
Ding, Zhi-Chun, Huidong Shi, Nada S. Aboelella, et al.. (2020). Persistent STAT5 activation reprograms the epigenetic landscape in CD4 + T cells to drive polyfunctionality and antitumor immunity. Science Immunology. 5(52). 50 indexed citations
7.
Wojciech, Łukasz, Michał Seweryn, Grzegorz A. Rempała, et al.. (2014). The same self-peptide selects conventional and regulatory CD4+ T cells with identical antigen receptors. Nature Communications. 5(1). 5061–5061. 16 indexed citations
8.
Sharma, Ashok, Shoshana M. Bartell, Clifton A. Baile, et al.. (2010). Hepatic Gene Expression Profiling Reveals Key Pathways Involved in Leptin-Mediated Weight Loss in ob/ob Mice. PLoS ONE. 5(8). e12147–e12147. 21 indexed citations
9.
Saxena, Payal, Ian Turner, & Richard McIndoe. (2010). Hepatobiliary and Pancreatic: Glycogenic hepatopathy: A reversible condition. Journal of Gastroenterology and Hepatology. 25(3). 646–646. 15 indexed citations
10.
Nguyen, Cuong Q., Ashok Sharma, Byung Ha Lee, et al.. (2009). Differential gene expression in the salivary gland during development and onset of xerostomia in Sjögren's syndrome-like disease of the C57BL/6.NOD-Aec1Aec2mouse. Arthritis Research & Therapy. 11(2). R56–R56. 43 indexed citations
11.
McIndoe, Richard. (2007). Time to tear ourselves away from paper.. PubMed. 117(6046). 18–9. 3 indexed citations
12.
Eckenrode, Sarah, et al.. (2006). Early pathogenic events associated with Sjögren's syndrome (SjS)-like disease of the nod mouse using microarray analysis. Laboratory Investigation. 86(12). 1243–1260. 63 indexed citations
13.
Zhu, Haizhen, Hongshan Zhao, Christin Collins, et al.. (2003). Gene Expression Associated With Interferon Alfa Antiviral Activity in An Hcv Replicon Cell Line. Hepatology. 37(5). 1180–1188. 86 indexed citations
14.
Ohneda, Osamu, Kinuko Ohneda, Hisayuki Nomiyama, et al.. (2000). WECHE: A novel hematopoietic regulatory factor. Journal of Cultural Heritage. 1(2). 141–150. 2 indexed citations
15.
Ohneda, Osamu, Kinuko Ohneda, Hisayuki Nomiyama, et al.. (2000). WECHE. Immunity. 12(2). 141–150. 36 indexed citations
16.
Jarvik, Gail P., Janet L. Stanford, Ellen L. Goode, et al.. (1999). Confirmation of Prostate Cancer Susceptibility Genes Using High-Risk Families. JNCI Monographs. 1999(26). 81–87. 10 indexed citations
17.
Stoughton, Roland, Roger E. Bumgarner, W.J. Frederick, & Richard McIndoe. (1997). Data‐adaptive algorithms for calling alleles in repeat polymorphisms. Electrophoresis. 18(1). 1–5. 7 indexed citations
18.
Hood, Leroy, et al.. (1996). Detection of a Large RIII-Derived Chromosomal Segment on Chromosome 10 in the H-2 Congenic Strain B10.RIII(71NS)/Sn. Genomics. 31(2). 266–269. 7 indexed citations
19.
McIndoe, Richard, et al.. (1995). Euskadi y Europa. PubMed. 19(1). 30, 32–3. 14 indexed citations
20.
McConnell, Thomas J., William S. Talbot, Richard McIndoe, & Edward K. Wakeland. (1988). The origin of MHC class II gene polymorphism within the genus Mus. Nature. 332(6165). 651–654. 99 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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