Caroline M. Leeth

628 total citations · 1 hit paper
18 papers, 483 citations indexed

About

Caroline M. Leeth is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Caroline M. Leeth has authored 18 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Immunology and 5 papers in Surgery. Recurrent topics in Caroline M. Leeth's work include Diabetes and associated disorders (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (3 papers). Caroline M. Leeth is often cited by papers focused on Diabetes and associated disorders (4 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (3 papers). Caroline M. Leeth collaborates with scholars based in United States, Spain and Finland. Caroline M. Leeth's co-authors include Kenneth J. Oestreich, Ruoxi Yuan, Miranda D. Vieson, Thomas E. Cecere, Michael Edwards, S. Ansar Ahmed, Liwu Li, Poorna Goswami, Xin Luo and Qinghui Mu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Caroline M. Leeth

17 papers receiving 476 citations

Hit Papers

Control of lupus nephritis by changes of gut microbiota 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline M. Leeth United States 8 224 162 122 95 71 18 483
Miranda D. Vieson United States 9 422 1.9× 192 1.2× 128 1.0× 153 1.6× 132 1.9× 38 732
Takashi Kusu Japan 9 312 1.4× 213 1.3× 85 0.7× 27 0.3× 78 1.1× 17 668
Dina M. Bitar United States 9 233 1.0× 536 3.3× 94 0.8× 65 0.7× 51 0.7× 15 892
Suzanne van Sommeren Netherlands 6 277 1.2× 99 0.6× 242 2.0× 31 0.3× 101 1.4× 7 514
Ilaria Galliano Italy 14 245 1.1× 125 0.8× 91 0.7× 38 0.4× 161 2.3× 94 728
Natacha Colliou United States 9 189 0.8× 159 1.0× 50 0.4× 67 0.7× 101 1.4× 9 448
Michaela Friedrichsen Germany 11 208 0.9× 552 3.4× 63 0.5× 43 0.5× 137 1.9× 14 837
Miriam B. Torchinsky United States 5 328 1.5× 492 3.0× 111 0.9× 26 0.3× 171 2.4× 5 803
David P. Hoytema van Konijnenburg United States 9 191 0.9× 570 3.5× 94 0.8× 30 0.3× 69 1.0× 13 796
Michio Miyajima Japan 9 240 1.1× 340 2.1× 49 0.4× 19 0.2× 84 1.2× 10 654

Countries citing papers authored by Caroline M. Leeth

Since Specialization
Citations

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

Fields of papers citing papers by Caroline M. Leeth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caroline M. Leeth. 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 Caroline M. Leeth. The network helps show where Caroline M. Leeth may publish in the future.

Co-authorship network of co-authors of Caroline M. Leeth

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

All Works

18 of 18 papers shown
1.
Leeth, Caroline M., et al.. (2023). Brief research report: Photoplethysmography pulse sensors designed to detect human heart rates are ineffective at measuring horse heart rates. SHILAP Revista de lepidopterología. 4. 1 indexed citations
2.
Zhu, Jing, et al.. (2022). Maternal antibody repertoire restriction modulates the development of lupus-like disease in BXSB offspring. International Immunology. 35(2). 95–104. 2 indexed citations
3.
Farrell, Kayla, et al.. (2021). Use of Genome Editing Techniques to Produce Transgenic Farm Animals. Advances in experimental medicine and biology. 1354. 279–297. 9 indexed citations
4.
Lindsay, David S., et al.. (2021). Interferon gamma protective against Sarcocystis neurona encephalitis in susceptible murine model. Veterinary Immunology and Immunopathology. 240. 110319–110319. 1 indexed citations
5.
Leeth, Caroline M., et al.. (2021). Engrafting Horse Immune Cells into Mouse Hosts for the Study of the Acute Equine Immune Responses. Animals. 11(10). 2962–2962. 1 indexed citations
6.
Wagner, Bettina, Caroline M. Leeth, Tanya LeRoith, et al.. (2021). Horses affected by EPM have increased sCD14 compared to healthy horses. Veterinary Immunology and Immunopathology. 242. 110338–110338. 5 indexed citations
7.
Stewart, J.L., et al.. (2021). PSXII-14 Estimation of phosphatidylserine positive sperm in fresh bull semen. Journal of Animal Science. 99(Supplement_3). 421–421. 1 indexed citations
8.
Zhu, Jing, Thomas J. Sproule, Tanya LeRoith, et al.. (2020). Abrogated AID Function Prolongs Survival and Diminishes Renal Pathology in the BXSB Mouse Model of Systemic Lupus Erythematosus. The Journal of Immunology. 204(5). 1091–1100. 7 indexed citations
9.
Witonsky, Sharon G., et al.. (2019). Sarcocystis neurona–Induced Myeloencephalitis Relapse Following Anticoccidial Treatment. Journal of Parasitology. 105(2). 371–371. 1 indexed citations
10.
Zhu, Jing, et al.. (2019). RAPID COMMUNICATION: TLR4 expressed but with reduced functionality on equine B lymphocytes. Journal of Animal Science. 97(5). 2175–2180. 2 indexed citations
11.
Mu, Qinghui, Husen Zhang, Xiaofeng Liao, et al.. (2017). Control of lupus nephritis by changes of gut microbiota. Microbiome. 5(1). 73–73. 307 indexed citations breakdown →
12.
Racine, Jeremy J., Muneer G. Hasham, Qiming Wang, et al.. (2017). Genetic and Small Molecule Disruption of the AID/RAD51 Axis Similarly Protects Nonobese Diabetic Mice from Type 1 Diabetes through Expansion of Regulatory B Lymphocytes. The Journal of Immunology. 198(11). 4255–4267. 30 indexed citations
13.
Jain, Shweta, Thomas J. Sproule, Gregory J. Christianson, et al.. (2016). Interleukin 6 Accelerates Mortality by Promoting the Progression of the Systemic Lupus Erythematosus-Like Disease of BXSB.Yaa Mice. PLoS ONE. 11(4). e0153059–e0153059. 25 indexed citations
14.
Driver, John P., Jeremy J. Racine, Ye Cheng, et al.. (2016). Interferon-γ Limits Diabetogenic CD8+ T-Cell Effector Responses in Type 1 Diabetes. Diabetes. 66(3). 710–721. 26 indexed citations
15.
Leeth, Caroline M., Jeremy J. Racine, Harold D. Chapman, et al.. (2016). B-Lymphocytes Expressing an Ig Specificity Recognizing the Pancreatic β-Cell Autoantigen Peripherin Are Potent Contributors to Type 1 Diabetes Development in NOD Mice. Diabetes. 65(7). 1977–1987. 18 indexed citations
16.
Jain, Shweta, Jing Chen, Alina Nicolae, et al.. (2015). IL-21–Driven Neoplasms in SJL Mice Mimic Some Key Features of Human Angioimmunoblastic T-Cell Lymphoma. American Journal Of Pathology. 185(11). 3102–3114. 20 indexed citations
18.
Komáromy, András M., John R. Heckenlively, Steven K. Lundy, et al.. (2015). Sudden acquired retinal degeneration syndrome (SARDS) – a review and proposed strategies toward a better understanding of pathogenesis, early diagnosis, and therapy. Veterinary Ophthalmology. 19(4). 319–331. 26 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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