Irit Hochberg

2.4k citations
44 papers · 1.6k · h-index 18

Impact in

Papers in

    • Pituitary Gland Disorders and Treatments 7
    • Growth Hormone and Insulin-like Growth Factors 6
    • Diabetes Management and Research 3
    • Diabetes Treatment and Management 3
    • Erythrocyte Function and Pathophysiology 4

Irit Hochberg

41 papers receiving 1.6k citations

Peers

Irit Hochberg
Comparison fields: 5 of 126
  • Cell Biology 344
  • Endocrine and Autonomic Systems 133
  • Health Informatics 20
  • Physiology 368
  • Endocrinology, Diabetes and Metabolism 215
Replace M. Elizabeth Hartnett with:
M. Elizabeth Hartnett United States
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Helen V. New United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Irit Hochberg

Since Specialization
Citations

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

Fields of papers citing papers by Irit Hochberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013353
2 2002224
3 1999187
4 201993
5 200282
6 200173
7 201070
8 200567
9 200143
10 202032
11 200330
12 201830
13 201924
14 201522
15 201521
16 201721
17 197120
18 201917
19 200117
20 201816

About Irit Hochberg

Irit Hochberg is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (7 papers), Hemoglobin structure and function (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Erythrocyte Function and Pathophysiology (4 papers), Diabetes Management and Research (3 papers), Neonatal Health and Biochemistry (3 papers), Diabetes Treatment and Management (3 papers) and Pancreatic function and diabetes (3 papers). The work is most often cited by research in Cell Biology (344 citations), Endocrine and Autonomic Systems (133 citations), Health Informatics (20 citations), Physiology (368 citations) and Endocrinology, Diabetes and Metabolism (215 citations). Irit Hochberg has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Andrew P. Levy, Ze’ev Hochberg, Ariel Roguin, Barbara V. Howard, Helaine E. Resnick, Kathleen Jablonski, Lyle G. Best, Elisa T. Lee, Karl Skorecki and Alan R. Saltiel. Their work appears in journals such as Journal of Medical Internet Research, Pituitary, PLoS ONE, Annals of Vascular Surgery and Nature Medicine.

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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