Eli Ipp

7.2k citations
84 papers · 2.8k · h-index 30

Impact in

Papers in

Eli Ipp

83 papers receiving 2.7k citations

Peers

Eli Ipp
Comparison fields: 5 of 111
  • Endocrinology, Diabetes and Metabolism 868
  • Nephrology 264
  • Endocrine and Autonomic Systems 160
  • Surgery 964
  • Cellular and Molecular Neuroscience 426
Replace San‐e Ishikawa with:
San‐e Ishikawa Japan
Akihiko Taguchi Japan
Frank Schweda Germany
Renming Hu China
Leen M. ‘t Hart Netherlands
Lillian Recant United States
Sandford L. Skinner Australia
David Casley Australia
Takuo Watanabe Japan
Timothy E. Graham United States
Eli Ipp relative to San‐e Ishikawa Japan San‐e Ishikawa's profile →
Citations per field
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San‐e Ishikawa · 1×
Citations per year

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 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978202
2 2012162
3 2005133
4 1977131
5 1978125
6 1996116
7 2001101
8 197788
9 199082
10 200481
11 197781
12 201371
13 200566
14 198263
15 198063
16 199249
17 200948
18 201647
19
Fluidity difference of membrane lipids in human normal and leukemic lymphocytes as controlled by serum components.
197746
20 197745

About Eli Ipp

Eli Ipp is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Epidemiology and Ophthalmology, having authored 84 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (29 papers), Diabetes Management and Research (18 papers), Retinal Diseases and Treatments (13 papers), Neuroendocrine Tumor Research Advances (13 papers), Metabolism, Diabetes, and Cancer (11 papers), Retinal Imaging and Analysis (7 papers), Diabetes and associated disorders (7 papers) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (868 citations), Nephrology (264 citations), Endocrine and Autonomic Systems (160 citations), Surgery (964 citations) and Cellular and Molecular Neuroscience (426 citations). Eli Ipp has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Roger H. Unger, Richard Dobbs, Hsu-Fang Chou, V. Harris, Pauline Genter, Lelio Orci, Nancy Berman, Wylie Vale, V. Schusdziarra and Sharon G. Adler. Their work appears in journals such as Diabetes, The Journal of Clinical Endocrinology & Metabolism, Diabetes Care, 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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