Danny Zipris

2.8k total citations
47 papers, 2.3k citations indexed

About

Danny Zipris is a scholar working on Genetics, Immunology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Danny Zipris has authored 47 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Genetics, 25 papers in Immunology and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Danny Zipris's work include Diabetes and associated disorders (40 papers), Immune Cell Function and Interaction (17 papers) and Pancreatic function and diabetes (11 papers). Danny Zipris is often cited by papers focused on Diabetes and associated disorders (40 papers), Immune Cell Function and Interaction (17 papers) and Pancreatic function and diabetes (11 papers). Danny Zipris collaborates with scholars based in United States, Israel and Australia. Danny Zipris's co-authors include Aimon K. Alkanani, Naoko Hara, Aldo A. Rossini, Dale L. Greiner, Alan H. Lazarus, Peter A. Gottlieb, T L Delovitch, Egil Lien, Diana Ir and Daniel N. Frank and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Danny Zipris

47 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danny Zipris United States 27 1.3k 935 655 577 535 47 2.3k
Robyn M. Slattery Australia 25 876 0.7× 976 1.0× 396 0.6× 556 1.0× 450 0.8× 46 2.1k
K. W. Taylor United Kingdom 27 1.7k 1.3× 495 0.5× 419 0.6× 1.3k 2.2× 1.1k 2.0× 75 2.6k
Naoki Shimojo Japan 26 287 0.2× 447 0.5× 491 0.7× 180 0.3× 267 0.5× 127 2.0k
Steven M. Cohn United States 23 523 0.4× 294 0.3× 615 0.9× 446 0.8× 87 0.2× 47 1.7k
Kate L. Graham Australia 22 526 0.4× 413 0.4× 244 0.4× 311 0.5× 195 0.4× 35 1.2k
Atsuhiro Ogaẃa Japan 19 524 0.4× 1.2k 1.3× 591 0.9× 363 0.6× 42 0.1× 56 2.3k
Ullrich Schwertschlag United States 18 501 0.4× 811 0.9× 323 0.5× 164 0.3× 73 0.1× 50 1.9k
David Neumann United States 19 222 0.2× 241 0.3× 443 0.7× 344 0.6× 148 0.3× 69 1.7k
Jian Peng China 19 331 0.3× 408 0.4× 388 0.6× 157 0.3× 124 0.2× 35 1.0k
Patrizia Luppi United States 19 376 0.3× 393 0.4× 246 0.4× 344 0.6× 215 0.4× 32 1.3k

Countries citing papers authored by Danny Zipris

Since Specialization
Citations

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

Fields of papers citing papers by Danny Zipris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny Zipris

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Zipris. A scholar is included among the top collaborators of Danny Zipris 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 Danny Zipris. Danny Zipris 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.
Gavin, Patrick G., et al.. (2021). Metaproteomic sample preparation methods bias the recovery of host and microbial proteins according to taxa and cellular compartment. Journal of Proteomics. 240. 104219–104219. 6 indexed citations
2.
Zipris, Danny, et al.. (2017). Targeting Innate Immunity for Type 1 Diabetes Prevention. Current Diabetes Reports. 17(11). 113–113. 14 indexed citations
3.
Zipris, Danny, et al.. (2016). The Role of the Intestinal Microbiome in Type 1 Diabetes Pathogenesis. Current Diabetes Reports. 16(10). 89–89. 45 indexed citations
4.
Alkanani, Aimon K., Naoko Hara, Roberto Gianani, & Danny Zipris. (2014). Kilham rat virus-induced type 1 diabetes involves beta cell infection and intra-islet JAK–STAT activation prior to insulitis. Virology. 468-470. 19–27. 14 indexed citations
5.
Zeng, Chun, Xin Yi, Danny Zipris, et al.. (2014). RNase L contributes to experimentally induced type 1 diabetes onset in mice. Journal of Endocrinology. 223(3). 277–287. 11 indexed citations
6.
Zipris, Danny. (2013). The interplay between the gut microbiota and the immune system in the mechanism of type 1 diabetes. Current Opinion in Endocrinology Diabetes and Obesity. 20(4). 265–270. 26 indexed citations
7.
Alkanani, Aimon K., Marian Rewers, Fran Dong, et al.. (2012). Dysregulated Toll-Like Receptor–Induced Interleukin-1β and Interleukin-6 Responses in Subjects at Risk for the Development of Type 1 Diabetes. Diabetes. 61(10). 2525–2533. 37 indexed citations
8.
Hara, Naoko, Aimon K. Alkanani, Diana Ir, et al.. (2012). The role of the intestinal microbiota in type 1 diabetes. Clinical Immunology. 146(2). 112–119. 54 indexed citations
9.
Zipris, Danny. (2010). Toll-Like Receptors and Type 1 Diabetes. Advances in experimental medicine and biology. 654. 585–610. 32 indexed citations
10.
Londono, Pilar, et al.. (2010). Brief dexamethasone treatment during acute infection prevents virus-induced autoimmune diabetes. Clinical Immunology. 135(3). 401–411. 26 indexed citations
11.
Lien, Egil & Danny Zipris. (2009). The Role of Toll-Like Receptor Pathways in the Mechanism of Type 1 Diabetes. Current Molecular Medicine. 9(1). 52–68. 59 indexed citations
12.
Sarkar, Suparna A., et al.. (2009). DNA microarray analysis for the identification of innate immune pathways implicated in virus-induced autoimmune diabetes. Clinical Immunology. 132(1). 103–115. 29 indexed citations
13.
Bortell, Rita, et al.. (2008). Closing the Circle between the Bedside and the Bench. Annals of the New York Academy of Sciences. 1150(1). 112–122. 14 indexed citations
14.
Zipris, Danny, Egil Lien, Anjali Nair, et al.. (2007). TLR9-Signaling Pathways Are Involved in Kilham Rat Virus-Induced Autoimmune Diabetes in the Biobreeding Diabetes-Resistant Rat. The Journal of Immunology. 178(2). 693–701. 84 indexed citations
15.
Beaudette-Zlatanova, Britte, Barbara J. Whalen, Danny Zipris, et al.. (2006). Costimulation and Autoimmune Diabetes in BB Rats. American Journal of Transplantation. 6(5). 894–902. 17 indexed citations
16.
Zipris, Danny, et al.. (2005). TLR Activation Synergizes with Kilham Rat Virus Infection to Induce Diabetes in BBDR Rats. The Journal of Immunology. 174(1). 131–142. 102 indexed citations
17.
Zipris, Danny, Jan‐Luuk Hillebrands, Raymond M. Welsh, et al.. (2003). Infections That Induce Autoimmune Diabetes in BBDR Rats Modulate CD4+CD25+ T Cell Populations. The Journal of Immunology. 170(7). 3592–3602. 53 indexed citations
18.
Zipris, Danny. (1996). Evidence that Th1 Lymphocytes Predominate in Islet Inflammation and Thyroiditis in the BioBreeding (BB) Rat. Journal of Autoimmunity. 9(3). 315–319. 18 indexed citations
19.
Mordes, John P., Rita Bortell, John Doukas, et al.. (1996). The BB/Wor Rat and the Balance Hypothesis of Autoimmunity. Diabetes/Metabolism Reviews. 12(2). 103–109. 49 indexed citations
20.
Zipris, Danny, Alan H. Lazarus, Andrew R. Crow, Marijana Popović Hadžija, & T L Delovitch. (1991). Defective thymic T cell activation by concanavalin A and anti-CD3 in autoimmune nonobese diabetic mice. Evidence for thymic T cell anergy that correlates with the onset of insulitis. The Journal of Immunology. 146(11). 3763–3771. 92 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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