Z. Madar

22 papers receiving 434 citations

Peers

Z. Madar
Comparison fields: 5 of 83
  • Gastroenterology 51
  • Geriatrics and Gerontology 32
  • Nutrition and Dietetics 75
  • Agronomy and Crop Science 42
  • Physiology 98
Replace Wang Zhang with:
Wang Zhang China
Youngcheon Song South Korea
Bolin Li China
Jeanne Walker United States
C Kunst Germany
Constanze C. Maresch Germany
Seyed H. Farzaneh United States
María Luisa Matey-Hernandez United Kingdom
Hsuan-Miao Liu Taiwan
Z. Madar relative to Wang Zhang China Wang Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Z. Madar

Since Specialization
Citations

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

Fields of papers citing papers by Z. Madar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200184
2 201376
3 199167
4 198249
5 200249
6 199529
7 199213
8
Pilot study of the efficacy of spent grain dietary fiber in the treatment of constipation.
198613
9 199512
10 198911
11 198210
12 19859
13 19869
14 19857
15 19837
16 20015
17 20015
18 19974
19
New sources of dietary fibre.
19873
20 19983

About Z. Madar

Z. Madar is a scholar working on Nutrition and Dietetics, Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 23 papers that have together received 469 indexed citations. Recurring topics across this work include Food composition and properties (4 papers), Diet, Metabolism, and Disease (3 papers), Ruminant Nutrition and Digestive Physiology (3 papers), Nutritional Studies and Diet (2 papers), Natural Antidiabetic Agents Studies (2 papers), Fatty Acid Research and Health (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Ginseng Biological Effects and Applications (2 papers). The work is most often cited by research in Gastroenterology (51 citations), Geriatrics and Gerontology (32 citations), Nutrition and Dietetics (75 citations), Agronomy and Crop Science (42 citations) and Physiology (98 citations). Z. Madar has collaborated with scholars based in Israel and United States. Frequent co-authors include H.S. Odes, Aliza H. Stark, Betty Schwartz, Sylvie Polak‐Charcon, Carmel Avivi-Green, H. Rosenberg, Arieh Gertler, Tamar Bino, A. Weiss and Yichayaou Beloosesky. Their work appears in journals such as Oncology Reports, American Journal of Clinical Nutrition, Clinical Nutrition, Endocrinology and Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics.

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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