Rivka Dresner–Pollak

1.7k total citations
42 papers, 1.4k citations indexed

About

Rivka Dresner–Pollak is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Rivka Dresner–Pollak has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 13 papers in Oncology and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Rivka Dresner–Pollak's work include Bone health and osteoporosis research (9 papers), Bone health and treatments (6 papers) and Sirtuins and Resveratrol in Medicine (6 papers). Rivka Dresner–Pollak is often cited by papers focused on Bone health and osteoporosis research (9 papers), Bone health and treatments (6 papers) and Sirtuins and Resveratrol in Medicine (6 papers). Rivka Dresner–Pollak collaborates with scholars based in Israel, United States and Switzerland. Rivka Dresner–Pollak's co-authors include S. L. Greenspan, Daniel Rachmilewitz, Fanny Karmeli, Einav Cohen‐Kfir, Irina Gurt, Hanna Artsi, Miron Weinreb, David London, Lauren Ferguson and Robert A. Parker and has published in prestigious journals such as Gastroenterology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Rivka Dresner–Pollak

40 papers receiving 1.3k citations

Peers

Rivka Dresner–Pollak
Comparison fields: 5 of 107
  • Molecular Biology 503
  • Orthopedics and Sports Medicine 393
  • Oncology 361
  • Epidemiology 232
  • Genetics 222
Replace Christopher Vidal with:
Christopher Vidal Australia
Bei Tao China
Jason M. Hodge Australia
Carmelo Erio Fiore Italy
Seung Hun Lee South Korea
Luca D’Onofrio Italy
Carla Caffarelli Italy
Ana Cardus Figueras Spain
Lan-Juan Zhao United States
Kazuya Oshima Japan
Christopher Vidal Australia View profile →
Citations per field, relative to Rivka Dresner–Pollak
Rivka Dresner–Pollak · 1×
Citations per year, relative to Rivka Dresner–Pollak
Rivka Dresner–Pollak · 1×

Countries citing papers authored by Rivka Dresner–Pollak

Since Specialization
Citations

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

Fields of papers citing papers by Rivka Dresner–Pollak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rivka Dresner–Pollak. 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 Rivka Dresner–Pollak. The network helps show where Rivka Dresner–Pollak may publish in the future.

Co-authorship network of co-authors of Rivka Dresner–Pollak

This figure shows the co-authorship network connecting the top 25 collaborators of Rivka Dresner–Pollak. A scholar is included among the top collaborators of Rivka Dresner–Pollak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rivka Dresner–Pollak. Rivka Dresner–Pollak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 1
4 0
5 12
6 6
7 33
8 8
9 3
10 26
11 26
12 39
13 14
14 11
15 56
16 132
17 48
18 20
19 148
20 29

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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