Anjana Devi Tangutur

829 citations
26 papers · 608 indexed · 1 hit paper · h-index 10

Anjana Devi Tangutur

26 papers receiving 599 citations

Hit Papers

Epigenetic modulation and understanding of HDAC inhibitor...226202120262022202450100150200

Peers

Anjana Devi Tangutur
Comparison fields: 5 of 92
  • Drug Discovery 1
  • Molecular Biology 381
  • Toxicology 16
  • Geriatrics and Gerontology 17
  • Cancer Research 63
Replace Guan‐Nan Wang with:
Guan‐Nan Wang China
Melchor Sánchez-Martínez Spain
Yasuharu Urano Japan
Qinghua Cui China
Sun-Yee Kim South Korea
Alicja Winczura Poland
Alex Philchenkov Ukraine
Jordan O’Malley United States
Silvina B. Nadin Argentina
Anjana Devi Tangutur relative to Guan‐Nan Wang China Guan‐Nan Wang's profile →
Citations per field
00.5×4.2×
Guan‐Nan Wang · 1×
Citations per year

Countries citing papers authored by Anjana Devi Tangutur

Since Specialization
Citations

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

Fields of papers citing papers by Anjana Devi Tangutur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anjana Devi Tangutur. 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 Anjana Devi Tangutur. The network helps show where Anjana Devi Tangutur may publish in the future.

Co-authorship network

The 23 scholars most cited alongside Anjana Devi Tangutur, 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 Anjana Devi Tangutur Line = papers co-authored together Anjana Devi Tangutur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20241
4 20241
5 20223
6 202239
7 20212
8
Epigenetic modulation and understanding of HDAC inhibitors in cancer therapybreakdown →
2021226
9 20215
10 20218
11 20211
12 20213
13 20202
14 202011
15 20207
16 201930
17 201821
18 2017119
19 201612
20 201357

About Anjana Devi Tangutur

Anjana Devi Tangutur is a scholar working on Toxicology, Geriatrics and Gerontology and Physiology, having authored 26 papers that have together received 608 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Bioactive Compounds and Antitumor Agents (3 papers), Berberine and alkaloids research (3 papers), Synthesis and biological activity (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer therapeutics and mechanisms (3 papers), Histone Deacetylase Inhibitors Research (3 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Drug Discovery (1 citation), Molecular Biology (381 citations) and Toxicology (16 citations). Anjana Devi Tangutur has collaborated with scholars based in India and Nigeria. Frequent co-authors include M. Janaki Ramaiah, M. Rajasekhar Reddy, Srinivas Kantevari, Dinesh Kumar, Nivedita Sahu, Debabrata Chowdhury, Priyanka Saxena, S. Banerjee, Tarak Nath Khatua and Bhima Bhukya. Their work appears in journals such as Gene, Life Sciences and International Journal of Biological Macromolecules.

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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