Nick Giannoukakis

4.1k total citations
78 papers, 3.3k citations indexed

About

Nick Giannoukakis is a scholar working on Genetics, Surgery and Immunology. According to data from OpenAlex, Nick Giannoukakis has authored 78 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Genetics, 34 papers in Surgery and 32 papers in Immunology. Recurrent topics in Nick Giannoukakis's work include Diabetes and associated disorders (37 papers), Pancreatic function and diabetes (30 papers) and Immune Cell Function and Interaction (22 papers). Nick Giannoukakis is often cited by papers focused on Diabetes and associated disorders (37 papers), Pancreatic function and diabetes (30 papers) and Immune Cell Function and Interaction (22 papers). Nick Giannoukakis collaborates with scholars based in United States, Italy and Germany. Nick Giannoukakis's co-authors include Massimo Trucco, Brett E. Phillips, Paul D. Robbins, Jo Harnaha, Constantin Polychronakos, Jean Paquette, Cheri Deal, William A. Rudert, Cynthia G. Goodyer and David N. Finegold and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Nick Giannoukakis

78 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick Giannoukakis United States 29 1.3k 1.2k 1.2k 923 559 78 3.3k
Harald Lahm Germany 34 894 0.7× 664 0.5× 2.3k 1.9× 379 0.4× 1.1k 2.0× 106 4.2k
Владимир Субботин United States 35 951 0.7× 557 0.4× 1.0k 0.9× 1.1k 1.2× 154 0.3× 108 3.4k
Annika Tibell Sweden 33 244 0.2× 1.9k 1.5× 967 0.8× 3.8k 4.1× 1.2k 2.2× 141 4.6k
Zvi Granot Israel 33 2.8k 2.2× 410 0.3× 1.9k 1.6× 654 0.7× 270 0.5× 58 5.5k
Catherine Sarraf United Kingdom 34 429 0.3× 429 0.3× 1.3k 1.1× 920 1.0× 55 0.1× 74 3.1k
Gerrit Wolters‐Eisfeld Netherlands 31 257 0.2× 693 0.6× 819 0.7× 1.5k 1.6× 812 1.5× 105 2.8k
Torsten Gloe Germany 26 663 0.5× 231 0.2× 1.3k 1.1× 294 0.3× 158 0.3× 40 3.0k
Sylvain L. Guérin Canada 29 373 0.3× 362 0.3× 1.2k 1.0× 279 0.3× 273 0.5× 114 2.8k
Hajime Kitamura Japan 28 626 0.5× 215 0.2× 929 0.8× 735 0.8× 195 0.3× 151 2.8k
Jiin‐Tsuey Cheng Taiwan 30 291 0.2× 190 0.2× 1.5k 1.3× 230 0.2× 341 0.6× 83 3.0k

Countries citing papers authored by Nick Giannoukakis

Since Specialization
Citations

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

Fields of papers citing papers by Nick Giannoukakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Giannoukakis

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Giannoukakis. A scholar is included among the top collaborators of Nick Giannoukakis 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 Nick Giannoukakis. Nick Giannoukakis 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.
Giannoukakis, Nick. (2023). Tolerogenic dendritic cells in type 1 diabetes: no longer a concept. Frontiers in Immunology. 14. 1212641–1212641. 17 indexed citations
2.
Niranjan, S., Brett E. Phillips, & Nick Giannoukakis. (2023). Uncoupling hepatic insulin resistance – hepatic inflammation to improve insulin sensitivity and to prevent impaired metabolism-associated fatty liver disease in type 2 diabetes. Frontiers in Endocrinology. 14. 1193373–1193373. 21 indexed citations
3.
Phillips, Brett E., Louise Lantier, Aatur D. Singhi, et al.. (2022). Improvement in insulin sensitivity and prevention of high fat diet-induced liver pathology using a CXCR2 antagonist. Cardiovascular Diabetology. 21(1). 130–130. 11 indexed citations
4.
Gawalt, Ellen S., et al.. (2022). Immune Cells Activating Biotin-Decorated PLGA Protein Carrier. Molecular Pharmaceutics. 19(7). 2638–2650. 6 indexed citations
5.
Bertera, Suzanne, Michael Knoll, Hidetaka Hara, et al.. (2021). Human Hemangioblast-Derived Mesenchymal Stem Cells Promote Islet Engraftment in a Minimal Islet Mass Transplantation Model in Mice. Frontiers in Medicine. 8. 660877–660877. 2 indexed citations
6.
Phillips, Brett E., et al.. (2021). Neutrophil-Associated Inflammatory Changes in the Pre-Diabetic Pancreas of Early-Age NOD Mice. Frontiers in Endocrinology. 12. 565981–565981. 12 indexed citations
7.
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9.
Phillips, Brett E., et al.. (2014). Involvement of Suppressive B-Lymphocytes in the Mechanism of Tolerogenic Dendritic Cell Reversal of Type 1 Diabetes in NOD Mice. PLoS ONE. 9(1). e83575–e83575. 43 indexed citations
10.
Giannoukakis, Nick & Massimo Trucco. (2012). A role for tolerogenic dendritic cell-induced B-regulatory cells in type 1 diabetes mellitus. Current Opinion in Endocrinology Diabetes and Obesity. 19(4). 279–287. 28 indexed citations
11.
D’Anneo, Antonella, et al.. (2011). Phosphatidylinositol-3-kinase activity during in vitro dendritic cell generation determines suppressive or stimulatory capacity. Immunologic Research. 50(2-3). 130–152. 5 indexed citations
12.
Phillips, Brett E. & Nick Giannoukakis. (2010). Drug delivery technologies for autoimmune disease. Expert Opinion on Drug Delivery. 7(11). 1279–1289. 3 indexed citations
13.
Phillips, Brett E., Nick Giannoukakis, & Massimo Trucco. (2008). Renal Diseases as Targets of Gene Therapy. Contributions to nephrology. 1–12. 1 indexed citations
14.
Phillips, Brett E., Karen D. Nylander, Jo Harnaha, et al.. (2008). A Microsphere-Based Vaccine Prevents and Reverses New-Onset Autoimmune Diabetes. Diabetes. 57(6). 1544–1555. 74 indexed citations
15.
Balamurugan, A. N., et al.. (2006). Prospective and Challenges of Islet Transplantation for the Therapy of Autoimmune Diabetes. Pancreas. 32(3). 231–243. 74 indexed citations
16.
D’Anneo, Antonella, Pleunie P. M. Rood, Rita Bottino, et al.. (2006). Gene Therapy for Type 1 Diabetes: Is it Ready for the Clinic?. Immunologic Research. 36(1-3). 83–90. 9 indexed citations
17.
Giannoukakis, Nick & Massimo Trucco. (2003). Current Status and Prospects for Gene and Cell Therapeutics for Type 1 Diabetes Mellitus. Reviews in Endocrine and Metabolic Disorders. 4(4). 369–380. 6 indexed citations
18.
Bottino, Rita, Patricia Lemarchand, Massimo Trucco, & Nick Giannoukakis. (2003). Gene- and cell-based therapeutics for type I diabetes mellitus. Gene Therapy. 10(10). 875–889. 50 indexed citations
19.
Trucco, Massimo, Paul D. Robbins, Angus W. Thomson, & Nick Giannoukakis. (2002). Gene Therapy Strategies to Prevent Autoimmune Disorders. Current Gene Therapy. 2(3). 341–354. 15 indexed citations
20.
Giannoukakis, Nick, Catherine A. Bonham, Shiguang Qian, et al.. (2000). Prolongation of Cardiac Allograft Survival Using Dendritic Cells Treated with NF-κB Decoy Oligodeoxyribonucleotides. Molecular Therapy. 1(5). 430–437. 119 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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