Michael Clare‐Salzler

13.1k total citations · 1 hit paper
139 papers, 8.2k citations indexed

About

Michael Clare‐Salzler is a scholar working on Immunology, Genetics and Surgery. According to data from OpenAlex, Michael Clare‐Salzler has authored 139 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Immunology, 61 papers in Genetics and 28 papers in Surgery. Recurrent topics in Michael Clare‐Salzler's work include Diabetes and associated disorders (51 papers), Immune Cell Function and Interaction (35 papers) and T-cell and B-cell Immunology (29 papers). Michael Clare‐Salzler is often cited by papers focused on Diabetes and associated disorders (51 papers), Immune Cell Function and Interaction (35 papers) and T-cell and B-cell Immunology (29 papers). Michael Clare‐Salzler collaborates with scholars based in United States, China and Japan. Michael Clare‐Salzler's co-authors include Mark A. Atkinson, Lyle L. Moldawer, Allan J. Tobin, Daniel L. Kaufman, Clive Wasserfall, Thomas G. Forsthuber, Jide Tian, Chang‐Qing Xia, Benjamin G. Keselowsky and Todd M. Brusko and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and JAMA.

In The Last Decade

Michael Clare‐Salzler

139 papers receiving 8.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Spontaneous loss of T-cell tolerance to glutamic acid decarboxylase in murine insulin-dependent diabetes

1993 890 citations Michael Clare‐Salzler, Jide Tian et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Clare‐Salzler United States	51	3.7k	3.1k	2.0k	1.6k	1.3k	139	8.2k
Tilo Andus Germany	45	3.3k 0.9×	2.2k 0.7×	1.8k 0.9×	488 0.3×	2.3k 1.7×	119	10.4k
Conny Gysemans Belgium	49	3.8k 1.0×	2.3k 0.7×	1.8k 0.9×	1.2k 0.8×	2.4k 1.8×	144	10.8k
Joost C.M. Meijers Netherlands	67	2.0k 0.5×	773 0.2×	2.1k 1.1×	932 0.6×	2.2k 1.7×	354	16.0k
Masahiro Ito Japan	37	1.2k 0.3×	1.1k 0.4×	1.4k 0.7×	582 0.4×	1.7k 1.3×	296	6.9k
Soichiro Miura Japan	49	2.1k 0.6×	912 0.3×	3.5k 1.8×	373 0.2×	2.5k 1.9×	343	9.9k
Yoshihide Fujiyama Japan	56	3.3k 0.9×	2.7k 0.9×	2.3k 1.2×	210 0.1×	3.1k 2.3×	318	10.4k
Clive Wasserfall United States	60	2.8k 0.8×	5.1k 1.6×	3.7k 1.9×	3.0k 1.9×	3.7k 2.8×	217	11.7k
Daniël W. Hommes Netherlands	58	2.9k 0.8×	5.5k 1.8×	2.9k 1.5×	384 0.2×	2.8k 2.1×	217	12.6k
Niels P. Riksen Netherlands	50	4.8k 1.3×	1000 0.3×	1.1k 0.6×	688 0.4×	2.4k 1.8×	205	9.5k
Ichiro Sekine Japan	37	1.5k 0.4×	899 0.3×	930 0.5×	367 0.2×	2.0k 1.5×	215	6.2k

Countries citing papers authored by Michael Clare‐Salzler

Since Specialization

Citations

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

Fields of papers citing papers by Michael Clare‐Salzler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Clare‐Salzler. 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 Michael Clare‐Salzler. The network helps show where Michael Clare‐Salzler may publish in the future.

Co-authorship network of co-authors of Michael Clare‐Salzler

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

All Works

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20 of 20 papers shown

Smith, D. Max, Kristin Weitzel, Amanda R. Elsey, et al.. (2019). CYP2D6-guided opioid therapy improves pain control in CYP2D6 intermediate and poor metabolizers: a pragmatic clinical trial. Genetics in Medicine. 21(8). 1842–1850. 105 indexed citations

Xia, Chang‐Qing, et al.. (2018). Immature Dendritic Cell Therapy Confers Durable Immune Modulation in an Antigen-Dependent and Antigen-Independent Manner in Nonobese Diabetic Mice. Journal of Immunology Research. 2018. 1–13. 19 indexed citations

Xia, Chang‐Qing, et al.. (2015). Effects of Type 1 Diabetes-Associated IFIH1 Polymorphisms on MDA5 Function and Expression. Current Diabetes Reports. 15(11). 96–96. 36 indexed citations

Gan, Ryan W., Kendra A. Young, Gary O. Zerbe, et al.. (2015). Lower omega-3 fatty acids are associated with the presence of anti-cyclic citrullinated peptide autoantibodies in a population at risk for future rheumatoid arthritis: a nested case-control study. Lara D. Veeken. 55(2). 367–376. 59 indexed citations

Zaveri, Toral, Jamal S. Lewis, Natalia V. Dolgova, Michael Clare‐Salzler, & Benjamin G. Keselowsky. (2014). Integrin-directed modulation of macrophage responses to biomaterials. Biomaterials. 35(11). 3504–3515. 137 indexed citations

Xia, Chang‐Qing, et al.. (2014). C-Abl Inhibitor Imatinib Enhances Insulin Production by β Cells: C-Abl Negatively Regulates Insulin Production via Interfering with the Expression of NKx2.2 and GLUT-2. PLoS ONE. 9(5). e97694–e97694. 25 indexed citations

Xia, Chang‐Qing, Yuan-Tao Liu, Qingbo Guan, & Michael Clare‐Salzler. (2013). Anti-lymphocyte antibody-based immunotherapy in type 1 diabetes. Chinese Medical Journal. 126(5). 957–964. 2 indexed citations

Nelson, David R., et al.. (2011). University of Florida Clinical and Translational Science Institute: Transformation and Translation in Personalized Medicine. Clinical and Translational Science. 4(6). 400–402. 8 indexed citations

Xia, Chang‐Qing, et al.. (2010). Experimental extracorporeal photopheresis therapy significantly delays the development of diabetes in non-obese diabetic mice. Clinical Immunology. 135(3). 374–383. 7 indexed citations

10.

Huang, Yanfei, Matthew Parker, Chang‐Qing Xia, et al.. (2009). Rabbit Polyclonal Mouse Antithymocyte Globulin Administration Alters Dendritic Cell Profile and Function in NOD Mice to Suppress Diabetogenic Responses. The Journal of Immunology. 182(8). 4608–4615. 14 indexed citations

11.

Norris, Jill M., Xiang Yin, Molly M. Lamb, et al.. (2007). Omega-3 Polyunsaturated Fatty Acid Intake and Islet Autoimmunity in Children at Increased Risk for Type 1 Diabetes. JAMA. 298(12). 1420–1420. 212 indexed citations

12.

Uchida, Takefumi, Philip O. Scumpia, Donna M. Murasko, et al.. (2007). Variable Requirement of Dendritic Cells for Recruitment of NK and T Cells to Different TLR Agonists. The Journal of Immunology. 178(6). 3886–3892. 7 indexed citations

13.

Davoodi‐Semiromi, Abdoreza, Amin Cheikhi, Chang‐Qing Xia, Sally A. Litherland, & Michael Clare‐Salzler. (2007). Modulation of CD4+Foxp3− T-cells with a JAK-STAT5 kinase inhibitor (131.2). The Journal of Immunology. 178(1_Supplement). S237–S237. 3 indexed citations

14.

Litherland, Sally A., Kristie M. Grebe, Nicole S. Belkin, et al.. (2005). Nonobese Diabetic Mouse Congenic Analysis Reveals Chromosome 11 Locus Contributing to Diabetes Susceptibility, Macrophage STAT5 Dysfunction, and Granulocyte-Macrophage Colony-Stimulating Factor Overproduction. The Journal of Immunology. 175(7). 4561–4565. 21 indexed citations

15.

Scumpia, Philip O., Priscilla F. McAuliffe, Kerri A. O’Malley, et al.. (2005). CD11c+ Dendritic Cells Are Required for Survival in Murine Polymicrobial Sepsis. The Journal of Immunology. 175(5). 3282–3286. 89 indexed citations

16.

Peng, Ruihua, et al.. (2003). Abnormal Peripheral Blood Dendritic Cell Populations in Type 1 Diabetes. Annals of the New York Academy of Sciences. 1005(1). 222–225. 29 indexed citations

17.

Goudy, Kevin, Brant Burkhardt, Clive Wasserfall, et al.. (2003). Systemic Overexpression of IL-10 Induces CD4+CD25+ Cell Populations In Vivo and Ameliorates Type 1 Diabetes in Nonobese Diabetic Mice in a Dose-Dependent Fashion. The Journal of Immunology. 171(5). 2270–2278. 107 indexed citations

18.

Oberholzer, Andreas, Caroline Oberholzer, Keith S. Bahjat, et al.. (2002). Increased Survival in Sepsis by In Vivo Adenovirus-Induced Expression of IL-10 in Dendritic Cells. The Journal of Immunology. 168(7). 3412–3418. 49 indexed citations

19.

Bahjat, Frances Rena, Vikas R. Dharnidharka, Kunitaro Fukuzuka, et al.. (2000). Reduced Susceptibility of Nonobese Diabetic Mice to TNF-α and d -Galactosamine-Mediated Hepatocellular Apoptosis and Lethality. The Journal of Immunology. 165(11). 6559–6567. 29 indexed citations

20.

Kaufman, D L, Michael Clare‐Salzler, Jide Tian, et al.. (1994). Spontaneous loss of T-cell tolerance to glutamic acid decarboxylase in murine insulin-dependent diabetes. Journal of Endocrinological Investigation. 17(7). 585–585. 42 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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