Alka Redkar

815 citations
24 papers · 661 · h-index 13

Impact in

Papers in

    • Cancer-related Molecular Pathways 4
    • Cancer Treatment and Pharmacology 3
    • HER2/EGFR in Cancer Research 3
    • Cancer therapeutics and mechanisms 2

Alka Redkar

23 papers receiving 635 citations

Peers

Alka Redkar
Comparison fields: 5 of 90
  • Geriatrics and Gerontology 50
  • Biomaterials 152
  • Cardiology and Cardiovascular Medicine 121
  • Surgery 198
  • Biochemistry 25
Replace Wei‐Dong Lü with:
Wei‐Dong Lü China
Jinping Zhao China
Weigang Yuan China
May Lin Yap Australia
Uǧur Akar United States
Qiang Tong China
Tingting Ren China
Tao Jia China
Go Urabe United States
Francesca Margheri Italy
Alka Redkar relative to Wei‐Dong Lü China Wei‐Dong Lü's profile →
Citations per field
00.5×6.7×
Wei‐Dong Lü · 1×
Citations per year

Countries citing papers authored by Alka Redkar

Since Specialization
Citations

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

Fields of papers citing papers by Alka Redkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alka Redkar, 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 Alka Redkar Line = papers co-authored together Alka Redkar 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 2005176
2 2003121
3 200080
4 200039
5 199935
6 199328
7 199524
8
Malignant transformation of Syrian hamster embryo (SHE) cells in culture by malachite green: an agent of environmental importance.
199924
9 199924
10 199817
11 199716
12 199812
13 200012
14 201710
15 19968
16 19946
17
Implications of p53 in growth arrest and apoptosis on combined treatment of human Mammary epithelial cells with topotecan and UCN-01.
20046
18 19925
19 20015
20
DNA analysis of breast cancer by flow cytometry & correlation with other prognostic parameters.
19925

About Alka Redkar

Alka Redkar is a scholar working on Oncology, Molecular Biology, Cancer Research, Immunology and Genetics, having authored 24 papers that have together received 661 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Cancer Treatment and Pharmacology (3 papers), HER2/EGFR in Cancer Research (3 papers), Animal Genetics and Reproduction (2 papers), Breast Cancer Treatment Studies (2 papers), Cancer therapeutics and mechanisms (2 papers), Force Microscopy Techniques and Applications (2 papers) and Cardiomyopathy and Myosin Studies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (50 citations), Biomaterials (152 citations), Cardiology and Cardiovascular Medicine (121 citations), Surgery (198 citations) and Biochemistry (25 citations). Alka Redkar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Robert G. Matheny, Keith A. Robinson, Jianhua Cui, Stephen F. Badylak, Megumi Mathison, Nicolas A.F. Chronos, Gary G. Meadows, Indraneel Mittra, Margaret McFarland and Richard M. Niles. Their work appears in journals such as British Journal of Cancer, Cytometry, International Journal of Oncology, Cancer and Advances in experimental medicine and biology.

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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