Sigal Ben‐Zaken

26 papers receiving 350 citations

Peers

Sigal Ben‐Zaken
Comparison fields: 5 of 49
  • Orthopedics and Sports Medicine 173
  • Genetics 250
  • Cell Biology 77
  • Cardiology and Cardiovascular Medicine 94
  • Rehabilitation 18
Replace Emiliya S. Egorova with:
Emiliya S. Egorova Russia
João Paulo Limongi França Guilherme Brazil
Valentina Ginevičienė Lithuania
Moran Sagiv Israel
Monika Michałowska‐Sawczyn Poland
Nicole Mazara Canada
Leonardo Henrique Dalcheco Messias Brazil
Rocky Blanco United States
Jelena Popadić-Gaćeša Serbia
Giorgos Georgiadis Greece
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Citations per year

Countries citing papers authored by Sigal Ben‐Zaken

Since Specialization
Citations

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

Fields of papers citing papers by Sigal Ben‐Zaken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sigal Ben‐Zaken. 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 Sigal Ben‐Zaken. The network helps show where Sigal Ben‐Zaken may publish in the future.

Co-authors

The 21 scholars most cited alongside Sigal Ben‐Zaken, 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 Sigal Ben‐Zaken Line = papers co-authored together Sigal Ben‐Zaken 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 201640
2 201335
3 201333
4 201526
5 201625
6 201419
7 201518
8 202116
9 202015
10 201315
11
Genetic aspects of exercise and rhabdomyolysis.
201414
12 201313
13 201412
14 201711
15 201611
16 20178
17 20208
18 20197
19 20217
20 20226

About Sigal Ben‐Zaken

Sigal Ben‐Zaken is a scholar working on Genetics, Orthopedics and Sports Medicine, Cardiology and Cardiovascular Medicine, Cell Biology and Rehabilitation, having authored 31 papers that have together received 358 indexed citations. Recurring topics across this work include Genetics and Physical Performance (21 papers), Sports Performance and Training (11 papers), Cardiovascular Effects of Exercise (10 papers), Muscle metabolism and nutrition (4 papers), Exercise and Physiological Responses (3 papers), Children's Physical and Motor Development (2 papers), Attention Deficit Hyperactivity Disorder (2 papers) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (173 citations), Genetics (250 citations), Cell Biology (77 citations), Cardiology and Cardiovascular Medicine (94 citations) and Rehabilitation (18 citations). Sigal Ben‐Zaken has collaborated with scholars based in Israel, Estonia and Hungary. Frequent co-authors include Alon Eliakim, Yoav Meckel, Dan Nemet, Eias Kassem, Małgorzata Siekańska, Lior Laver, Antonio Dello Iacono, Gershon Tenenbaum, Johnny Padulo and Ronnie Lidor. Their work appears in journals such as Growth Hormone & IGF Research, The Journal of Strength and Conditioning Research, Scandinavian Journal of Medicine and Science in Sports, Neurological Sciences and Biology of Sport.

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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