Amol N.S. Rakkar

581 citations
9 papers · 484 indexed · h-index 7
Topics
Cancer-related Molecular Pathways (6 papers)Cancer Research and Treatments (3 papers)Acute Myeloid Leukemia Research (2 papers)
Partner nations
United States

In The Last Decade

Amol N.S. Rakkar

9 papers receiving 471 citations

Peers

Amol N.S. Rakkar
Comparison fields: 5 of 60
  • Oncology 298
  • Molecular Biology 269
  • Genetics 87
  • Biotechnology 85
  • Cancer Research 76
Replace Ryosuke Moriai with:
Ryosuke Moriai Japan
S Hoffarth Germany
Qing-Rong Chen United States
Antonio Lucena-Cacace Spain
Janet I. Lee United States
Taina Turpeenniemi-Hujanen Finland
Jean‐Charles Ahomadegbe France
Christine Rivat France
Yingxin Xu China
Amol N.S. Rakkar relative to Ryosuke Moriai Japan Ryosuke Moriai's profile →
Citations per field
00.5×1.5×2.0×
Ryosuke Moriai · 1×
Citations per year

Countries citing papers authored by Amol N.S. Rakkar

Since Specialization
Citations

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

Fields of papers citing papers by Amol N.S. Rakkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amol N.S. Rakkar. 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 Amol N.S. Rakkar. The network helps show where Amol N.S. Rakkar may publish in the future.

Co-authorship network of co-authors of Amol N.S. Rakkar

This figure shows the co-authorship network connecting the top 25 collaborators of Amol N.S. Rakkar. A scholar is included among the top collaborators of Amol N.S. Rakkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Amol N.S. Rakkar. Amol N.S. Rakkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 4
2 3
3 44
4 19
5 48
6 17
7 31
8
A recombinant adenovirus expressing wild type p53 induces apoptosis in drug-resistant human breast cancer cells: a gene therapy approach for drug-resistant cancers.
34
9
Promoting apoptosis: a novel activity associated with the cyclin-dependent kinase inhibitor p27.
284

About Amol N.S. Rakkar

Amol N.S. Rakkar is a scholar working on Biotechnology, Hematology and Oncology, having authored 9 papers that have together received 484 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (3 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Oncology (298 citations), Biotechnology (85 citations) and Cancer Research (76 citations). Amol N.S. Rakkar has collaborated with scholars based in United States. Frequent co-authors include Prem Seth, Kenneth H. Cowan, Zheng Li, Y. Katayose, Zhuangwu Li, Min Kim, Dai Katayose, Yu Katayose, Naga Shanmugam and Qingdi Li. Their work appears in journals such as Blood, JNCI Journal of the National Cancer Institute and Biochemical and Biophysical Research Communications.

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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