Eli Ipp

113 papers receiving 5.3k citations

Eli Ipp's Hit Papers

Genetic drivers of heterogeneity in type 2 diabetes pathophysiology 2024 · 282 citations
2820+1+2Years since publication100200300400

Peers

Eli Ipp
Comparison fields: 5 of 137
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Nephrology 567
  • Ophthalmology 464
  • Genetics 1.1k
  • Surgery 1.5k
Replace Emma Ahlqvist with:
Emma Ahlqvist Sweden
Eero Lindholm Sweden
Matthias Olden Germany
Marketa Sjögren Sweden
Eitaro Nakashima Japan
Germaine C. Verwoert Netherlands
Rose Gubitosi‐Klug United States
Jaap Deinum Netherlands
Satoshi Asai Japan
Ola Hansson Sweden
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Countries citing papers authored by Eli Ipp

Since Specialization
Citations

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

Fields of papers citing papers by Eli Ipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eli Ipp, 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 Eli Ipp Line = papers co-authored together Eli Ipp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
Hit paper breakdown →
2022435
2
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Hit paper breakdown →
2024282
3 2017245
4 1978217
5 2018206
6 2018197
7 2021174
8 2012173
9 2008156
10 1977142
11 2005137
12 2015135
13 1978130
14 2007124
15 1996121
16 2018109
17 2001106
18 197798
19 202298
20 200490

About Eli Ipp

Eli Ipp is a scholar working on Endocrinology, Diabetes and Metabolism, Ophthalmology, Nephrology, Genetics and Surgery, having authored 117 papers that have together received 5.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (29 papers), Diabetes Management and Research (20 papers), Genetic Associations and Epidemiology (17 papers), Retinal Diseases and Treatments (16 papers), Neuroendocrine Tumor Research Advances (15 papers), Metabolism, Diabetes, and Cancer (11 papers), Chronic Kidney Disease and Diabetes (9 papers) and Retinal Imaging and Analysis (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Nephrology (567 citations), Ophthalmology (464 citations), Genetics (1.1k citations) and Surgery (1.5k citations). Eli Ipp has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Roger H. Unger, RICHARD E. DOBBS, Hsu-Fang Chou, V. Harris, Pauline M. Genter, Lelio Orci, Nancy Berman, Wylie Vale, VOLKER SCHUSDZIARRA and Sharon G. Adler. Their work appears in journals such as Diabetes, Diabetes Care, The Journal of Clinical Endocrinology & Metabolism, Life Sciences and American Journal of Physiology-Endocrinology and Metabolism.

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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