Archana De

581 citations
18 papers · 454 indexed · h-index 9

Archana De

18 papers receiving 447 citations

Peers

Archana De
Comparison fields: 5 of 70
  • Applied Microbiology and Biotechnology 16
  • Cancer Research 115
  • Molecular Biology 302
  • Complementary and alternative medicine 29
  • Oncology 95
Replace Sima Mansoori Derakhshan with:
Sima Mansoori Derakhshan Iran
Ji Eon Park South Korea
Beibei Bie China
Shreya Kar Singapore
Han‐Tsang Wu Taiwan
Deok Yong Sim South Korea
Jessica Plati United States
Ruisheng Yao United States
Weili Min China
Yang Ho Park South Korea
Archana De relative to Sima Mansoori Derakhshan Iran Sima Mansoori Derakhshan's profile →
Citations per field
00.5×1.6×
Sima Mansoori Derakhshan · 1×
Citations per year

Countries citing papers authored by Archana De

Since Specialization
Citations

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

Fields of papers citing papers by Archana De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20244
2 202129
3 202011
4 20163
5 201629
6 201562
7 20153
8 201439
9 20141
10 201365
11 20131
12 20132
13 20132
14 201244
15 201165
16 201192
17 20111
18
Hansch analysis of anticancer activities of C2-modified paclitaxel analogs against human ovarian car,cinoma lA9, human colon carcinoma HCTll6 arid human burkitt lymphoma CA46 cell lines
19991

About Archana De

Archana De is a scholar working on Complementary and alternative medicine, Biochemistry, Molecular Biology, Oncology and Immunology, having authored 18 papers that have together received 454 indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (9 papers), Phytochemical and Pharmacological Studies (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Biomarkers in Disease Mechanisms (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Inflammatory mediators and NSAID effects (2 papers), Cancer-related Molecular Pathways (2 papers) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (16 citations), Cancer Research (115 citations), Molecular Biology (302 citations), Complementary and alternative medicine (29 citations) and Oncology (95 citations). Archana De has collaborated with scholars based in United States. Frequent co-authors include Sushanta K. Banerjee, Snigdha Banerjee, Inamul Haque, Smita Mehta, Peter J. Van Veldhuizen, Douglas H. McGregor, Alok De, Sandipto Sarkar, Amlan Das and Gargi Maity. Their work appears in journals such as Cancer Research, The FASEB Journal, Journal of Biological Chemistry, PLoS ONE and Pharmacology Research & Perspectives.

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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