Ruth Percik

31 papers receiving 625 citations

Peers

Ruth Percik
Comparison fields: 5 of 74
  • Oncology 161
  • Internal Medicine 19
  • Cardiology and Cardiovascular Medicine 106
  • Endocrinology, Diabetes and Metabolism 67
  • Endocrine and Autonomic Systems 27
Replace Elva Pérez‐Luque with:
Elva Pérez‐Luque Mexico
Tobias Traeger Germany
Toshiki Maeda Japan
J J Staub Switzerland
Robert Roehle Germany
Mustafa Büyükavcı Türkiye
Mustafa Yılmaz Türkiye
Martina Mookadam United States
Laura A. Bienvenu Australia
Abdullah Tüten Türkiye
Ruth Percik relative to Elva Pérez‐Luque Mexico Elva Pérez‐Luque's profile →
Citations per field
00.5×6.4×
Elva Pérez‐Luque · 1×
Citations per year

Countries citing papers authored by Ruth Percik

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Percik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010106
2 201986
3 200962
4 201050
5 201945
6 200839
7 202232
8 202130
9 202027
10 201923
11 202020
12 202317
13 202016
14 202111
15 20219
16 20197
17 20187
18 20226
19 20196
20 20224

About Ruth Percik

Ruth Percik is a scholar working on Oncology, Epidemiology, Neurology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 31 papers that have together received 633 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Neuroblastoma Research and Treatments (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Renal cell carcinoma treatment (2 papers), Metabolism, Diabetes, and Cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Menstrual Health and Disorders (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Oncology (161 citations), Internal Medicine (19 citations), Cardiology and Cardiovascular Medicine (106 citations), Endocrinology, Diabetes and Metabolism (67 citations) and Endocrine and Autonomic Systems (27 citations). Ruth Percik has collaborated with scholars based in Israel, Russia and United States. Frequent co-authors include Michael Stümvoll, Amir Tirosh, Ehud Grossman, Raya Leibowitz‐Amit, Annette Horstmann, Haiko Schloegl, Arno Villringer, Arnon Afek, Nir Ayalon and Barak Gordon. Their work appears in journals such as Cancers, Hormone and Metabolic Research, Experimental and Clinical Endocrinology & Diabetes, Autoimmunity Reviews and Hypertension.

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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