Janos Nadas

891 citations
24 papers · 722 · h-index 16

Impact in

Papers in

    • Cancer therapeutics and mechanisms 4
    • Genomics, phytochemicals, and oxidative stress 3
    • Metal complexes synthesis and properties 3

Janos Nadas

24 papers receiving 714 citations

Peers

Janos Nadas
Comparison fields: 5 of 96
  • Toxicology 38
  • Geriatrics and Gerontology 28
  • Molecular Biology 437
  • Oncology 130
  • Organic Chemistry 121
Replace Renato Ferreira de Freitas with:
Renato Ferreira de Freitas Brazil
Saswati Banerjee United States
Leonor P. Roguin Argentina
Tatjana Srdić‐Rajić Serbia
Hulai Wei China
Yunqing Lin China
Sylvain Broussy France
Karol Bukowski Poland
Kang Fang China
Ravindra Dhar Dubey India
Janos Nadas relative to Renato Ferreira de Freitas Brazil Renato Ferreira de Freitas's profile →
Citations per field
00.5×9.3×
Renato Ferreira de Freitas · 1×
Citations per year

Countries citing papers authored by Janos Nadas

Since Specialization
Citations

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

Fields of papers citing papers by Janos Nadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012144
2 201079
3 201052
4 201351
5 200650
6 200645
7 201236
8 201127
9 201825
10 201225
11 200624
12 201020
13 200919
14 200719
15 200418
16 201815
17 201214
18 200914
19 200713
20 201311

About Janos Nadas

Janos Nadas is a scholar working on Molecular Biology, Oncology, Organic Chemistry, Immunology and Pathology and Forensic Medicine, having authored 24 papers that have together received 722 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Crystallography and molecular interactions (3 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Metal complexes synthesis and properties (3 papers), Molecular Sensors and Ion Detection (2 papers) and Carbohydrate Chemistry and Synthesis (2 papers). The work is most often cited by research in Toxicology (38 citations), Geriatrics and Gerontology (28 citations), Molecular Biology (437 citations), Oncology (130 citations) and Organic Chemistry (121 citations). Janos Nadas has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Zigang Dong, Ann M. Bode, Duxin Sun, Yong‐Yeon Cho, Benjamin P. Hay, Ke Yao, Peng George Wang, Dong Joon Kim, Naomi Oi and Angelo Pugliese. Their work appears in journals such as The Journal of Organic Chemistry, Cancer Research, Molecular Cancer Therapeutics, PLoS ONE and Molecular Pharmaceutics.

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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