Varda Nadler

1.7k citations
23 papers · 1.2k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Varda Nadler

23 papers receiving 1.1k citations

Hit Papers

Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccine 2021 · 305 citations
3052021202620222024100200300

Peers

Varda Nadler
Comparison fields: 5 of 117
  • Modeling and Simulation 113
  • Cellular and Molecular Neuroscience 318
  • Infectious Diseases 275
  • Pharmacology 222
  • Health 92
Replace Xóchitl Trujillo with:
Xóchitl Trujillo Mexico
Zhonghua Yang China
Marina Borro Italy
Clara Di Germanio United States
Giovanna Gentile Italy
Yoon‐Jung Choi South Korea
Gaurav Gupta India
Alin Ciobîcă Romania
Md. Abdul Aziz Bangladesh
Xia Liu China
Varda Nadler relative to Xóchitl Trujillo Mexico Xóchitl Trujillo's profile →
Citations per field
00.5×4.2×
Xóchitl Trujillo · 1×
Citations per year

Countries citing papers authored by Varda Nadler

Since Specialization
Citations

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

Fields of papers citing papers by Varda Nadler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20225
2 20228
3
Initial report of decreased SARS-CoV-2 viral load after inoculation with the BNT162b2 vaccine
Hit paper breakdown →
2021305
4 202128
5 20193
6 201824
7 201734
8 20168
9 201578
10 201344
11 199612
12 199612
13 199563
14 199349
15 199351
16 199023
17 1989148
18 198845
19 198870
20 198690

About Varda Nadler

Varda Nadler is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Pharmacology, Endocrine and Autonomic Systems and Nephrology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Pituitary Gland Disorders and Treatments (5 papers), Cannabis and Cannabinoid Research (4 papers), Adrenal and Paraganglionic Tumors (4 papers), Adrenal Hormones and Disorders (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Modeling and Simulation (113 citations), Cellular and Molecular Neuroscience (318 citations), Infectious Diseases (275 citations), Pharmacology (222 citations) and Health (92 citations). Varda Nadler has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Mordechai Sokolovsky, Yoel Kloog, Iris Goldberg, Raphael Mechoulam, Ayala Hochman, Tamar Wolf, Dania Hirsch, Sivan Gazit, Licita Schreiber and Gabriel Chodick. Their work appears in journals such as Brain Research, Pharmaceutical Research, European Journal of Endocrinology, Nature Medicine and Journal of Bacteriology.

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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