Nick Giannoukakis

4.1k citations
78 papers · 3.3k · h-index 29

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Genetics top 1%
    • Diabetes and associated disorders
    • Genetic Syndromes and Imprinting

Papers in

    • Diabetes and associated disorders 37
    • Virus-based gene therapy research 5
    • Pancreatic function and diabetes 30

Nick Giannoukakis

78 papers receiving 3.2k citations

Peers

Nick Giannoukakis
Comparison fields: 5 of 109
  • Immunology 1.3k
  • Genetics 1.2k
  • Endocrinology, Diabetes and Metabolism 559
  • Surgery 923
  • Aging 36
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Nick Giannoukakis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nick Giannoukakis Line = papers co-authored together Nick Giannoukakis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993356
2 2011329
3 2000179
4 2009153
5 2004134
6 1999127
7 2000119
8 201199
9 201383
10 201082
11 200080
12 200674
13 200874
14 200674
15 200371
16 201467
17 201765
18 201460
19 201557
20 200350

About Nick Giannoukakis

Nick Giannoukakis is a scholar working on Genetics, Surgery, Immunology, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 78 papers that have together received 3.3k indexed citations. Recurring topics across this work include Diabetes and associated disorders (37 papers), Pancreatic function and diabetes (30 papers), Immune Cell Function and Interaction (22 papers), Immunotherapy and Immune Responses (18 papers), T-cell and B-cell Immunology (17 papers), Diabetes Management and Research (14 papers), Virus-based gene therapy research (5 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Immunology (1.3k citations), Genetics (1.2k citations), Endocrinology, Diabetes and Metabolism (559 citations), Surgery (923 citations) and Aging (36 citations). Nick Giannoukakis has collaborated with scholars based in United States, Italy and Germany. Frequent 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. Their work appears in journals such as Diabetes, Gene Therapy, Frontiers in Immunology, Pediatric Diabetes and Clinical Immunology.

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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