Eba Hathout

1.9k citations
37 papers · 1.3k · h-index 21

Impact in

Papers in

    • Pancreatic function and diabetes 22
    • Diabetes and associated disorders 10

Eba Hathout

37 papers receiving 1.2k citations

Peers

Eba Hathout
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 467
  • Surgery 833
  • Transplantation 46
  • Genetics 487
  • Pharmacology 118
Replace Diana A. Lepore with:
Diana A. Lepore Australia
Michel Baum United States
Elaine Murphy United Kingdom
Meyer Knobel Brazil
C. Wang China
John H. Holcombe United States
J Lefèbvre France
Alda Tufro-McReddie United States
Adrian Jennings United Kingdom
Rosa Maria Paragliola Italy
Eba Hathout relative to Diana A. Lepore Australia Diana A. Lepore's profile →
Citations per field
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Diana A. Lepore · 1×
Citations per year

Countries citing papers authored by Eba Hathout

Since Specialization
Citations

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

Fields of papers citing papers by Eba Hathout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004258
2 2001118
3 200685
4 200679
5 201068
6 200258
7 200944
8 200341
9 200339
10 200636
11 200935
12 200832
13 200331
14 201028
15 199926
16 200926
17 200325
18 200923
19 200223
20 200723

About Eba Hathout

Eba Hathout is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Molecular Biology and Epidemiology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (22 papers), Diabetes Management and Research (10 papers), Diabetes and associated disorders (10 papers), Metabolism, Diabetes, and Cancer (6 papers), Cannabis and Cannabinoid Research (4 papers), Regulation of Appetite and Obesity (4 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (467 citations), Surgery (833 citations), Transplantation (46 citations), Genetics (487 citations) and Pharmacology (118 citations). Eba Hathout has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include John Mace, Richard Chinnock, André Obenaus, Fadi Nahab, Naoaki Sakata, Ricardo Peverini, W. Lawrence Beeson, Mohamed A. El-Shahawy, Andrew T. Hattersley and Oddmund Sövik. Their work appears in journals such as Pediatric Diabetes, Transplantation, PEDIATRICS, The Journal of Clinical Endocrinology & Metabolism and American Journal of Transplantation.

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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