Haim Werner

200 papers receiving 10.2k citations

Haim Werner's Hit Papers

Molecular and Cellular Aspects of the Insulin-Like Growth Factor I Receptor 1995 · 1.2k citations
1.2k0+10+20Years since publication4008001.2k

Peers

Haim Werner
Comparison fields: 5 of 122
  • Endocrinology, Diabetes and Metabolism 4.9k
  • Aging 97
  • Developmental Neuroscience 176
  • Oncology 784
  • Cancer Research 457
Replace Robert M.W. Hofstra with:
Robert M.W. Hofstra Netherlands
Peter S. Rotwein United States
Xiao‐Jian Sun United States
Liam J. Murphy Canada
Minho Shong South Korea
Matthew M. Rechler United States
Roberto Di Lauro Italy
Rhonda Denise Kineman United States
Rohit Kulkarni United States
Giuseppe Damante Italy
Haim Werner relative to Robert M.W. Hofstra Netherlands Robert M.W. Hofstra's profile →
Citations per field
00.5×2×2.7×
Robert M.W. Hofstra · 1×
Citations per year

Countries citing papers authored by Haim Werner

Since Specialization
Citations

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

Fields of papers citing papers by Haim Werner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 202 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular and Cellular Aspects of the Insulin-Like Growth Factor I Receptor
Hit paper breakdown →
19951243
2 1992344
3 1996317
4 1990291
5 1996256
6 1993235
7 1989188
8 2018178
9 2009160
10 2009146
11 1998142
12 2014138
13 1994133
14 2008132
15 2000130
16 2013129
17 1997125
18 2016122
19 1989115
20 1990109

About Haim Werner

Haim Werner is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Reproductive Medicine, Oncology and Genetics, having authored 202 papers that have together received 10.7k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (156 papers), Cancer-related Molecular Pathways (8 papers), Metabolism, Diabetes, and Cancer (6 papers), Genomics and Chromatin Dynamics (6 papers), BRCA gene mutations in cancer (6 papers), Prostate Cancer Treatment and Research (5 papers), Ovarian cancer diagnosis and treatment (5 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (4.9k citations), Aging (97 citations), Developmental Neuroscience (176 citations), Oncology (784 citations) and Cancer Research (457 citations). Haim Werner has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Charles T. Roberts, Derek LeRoith, Dana Beitner‐Johnson, Ilan Bruchim, Rive Sarfstein, Derek LeRoith, Zvi Laron, Carolyn A. Bondy, Frank J. Rauscher and Martin Louis Adamo. Their work appears in journals such as Endocrinology, Growth Hormone & IGF Research, Cells, Molecular and Cellular Endocrinology and Frontiers in Endocrinology.

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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