Jacob Vaya

7.3k citations
99 papers · 6.2k indexed · h-index 41

Impact in

  • Biochemistry top 0.2%
    • Phytochemicals and Antioxidant Activities
    • Antioxidant Activity and Oxidative Stress
    • Paraoxonase enzyme and polymorphisms

Papers in

    • Paraoxonase enzyme and polymorphisms 24
    • Antioxidant Activity and Oxidative Stress 14
    • Phytochemicals and Antioxidant Activities 9

Jacob Vaya

98 papers receiving 5.8k citations

Peers

Jacob Vaya
Comparison fields: 5 of 129
  • Biochemistry 1.4k
  • Clinical Biochemistry 1.2k
  • Pharmacology 1.4k
  • Nutrition and Dietetics 976
  • Biochemistry 397
Replace Shengmin Sang with:
Shengmin Sang United States
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Dae Sik Jang South Korea
Ka‐Wing Cheng China
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Jacob Vaya relative to Shengmin Sang United States Shengmin Sang's profile →
Citations per field
00.5×1.5×2.1×
Shengmin Sang · 1×
Citations per year

Countries citing papers authored by Jacob Vaya

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Vaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201836
2 20183
3 20148
4 201126
5 201019
6 200922
7 200921
8 20085
9 200822
10 200838
11 2006196
12 2004167
13 200476
14 2004259
15 200274
16 2001263
17 2001187
18 199993
19 199925
20 1997171

About Jacob Vaya

Jacob Vaya is a scholar working on Clinical Biochemistry, Biochemistry, Pharmacology, Biochemistry and Nutrition and Dietetics, having authored 99 papers that have together received 6.2k indexed citations. Recurring topics across this work include Paraoxonase enzyme and polymorphisms (24 papers), Pharmacological Effects of Natural Compounds (16 papers), Cynara cardunculus studies (16 papers), Antioxidant Activity and Oxidative Stress (14 papers), Cholesterol and Lipid Metabolism (12 papers), Phytochemicals and Antioxidant Activities (9 papers), Apelin-related biomedical research (8 papers) and Free Radicals and Antioxidants (7 papers). The work is most often cited by research in Biochemistry (1.4k citations), Clinical Biochemistry (1.2k citations), Pharmacology (1.4k citations), Nutrition and Dietetics (976 citations) and Biochemistry (397 citations). Jacob Vaya has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Michael Aviram, Snait Tamir, Soliman Khatib, Paula A. Belinky, Ramadan Musa, Mira Rosenblat, Ohad Nerya, Saeed Mahmood, Raymond Coleman and Tony Hayek. Their work appears in journals such as Free Radical Biology and Medicine, The Journal of Steroid Biochemistry and Molecular Biology, BioFactors, Free Radical Research and Atherosclerosis.

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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