Nava Chapnik

2.2k citations
57 papers · 1.7k indexed · h-index 22

Impact in

Papers in

Nava Chapnik

56 papers receiving 1.7k citations

Peers

Nava Chapnik
Comparison fields: 5 of 100
  • Endocrine and Autonomic Systems 981
  • Aging 203
  • Physiology 1.1k
  • Microbiology 118
  • Biological Psychiatry 43
Replace Maayan Barnea with:
Maayan Barnea Israel
Anna Lee South Korea
Min-Seon Kim South Korea
Marc Schneeberger United States
Amandine Chaix United States
Anouk C. Tengeler Netherlands
Peter C. Konturek Germany
Virginie Laurent France
Jiřı́ Pácha Czechia
Minoru Ohta Japan
Nava Chapnik relative to Maayan Barnea Israel Maayan Barnea's profile →
Citations per field
00.5×4.9×
Maayan Barnea · 1×
Citations per year

Countries citing papers authored by Nava Chapnik

Since Specialization
Citations

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

Fields of papers citing papers by Nava Chapnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 20236
4 20233
5 202015
6 201957
7 201726
8 201645
9 20159
10
New fast and reversible leptin antagonist-induced mice model of metabolic syndrome and T2DM
20121
11 201267
12 201133
13 201125
14 201084
15 200858
16 200831
17 200712
18 200663
19 200641
20 200519

About Nava Chapnik

Nava Chapnik is a scholar working on Aging, Endocrine and Autonomic Systems, Physiology, Microbiology and Biological Psychiatry, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (33 papers), Dietary Effects on Health (17 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers), Adipose Tissue and Metabolism (11 papers), Diet and metabolism studies (9 papers), Antimicrobial Peptides and Activities (7 papers), Muscle Physiology and Disorders (3 papers) and Spaceflight effects on biology (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (981 citations), Aging (203 citations), Physiology (1.1k citations), Microbiology (118 citations) and Biological Psychiatry (43 citations). Nava Chapnik has collaborated with scholars based in Israel, Switzerland and Japan. Frequent co-authors include Oren Froy, Yoni Genzer, Hadas Sherman, Zecharia Madar, Ruth Miskin, Rotem Cohen, Maayan Barnea, Roee Gutman, Axel Lorentz and Tali Ganz. Their work appears in journals such as Molecular and Cellular Endocrinology, The International Journal of Biochemistry & Cell Biology, Molecular Immunology, International Journal of Obesity and The Journal of Nutritional Biochemistry.

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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2026