Sikha Rauth

439 citations
16 papers · 385 indexed · h-index 12
Topics
CRISPR and Genetic Engineering (6 papers)Cancer-related Molecular Pathways (4 papers)Virus-based gene therapy research (3 papers)
Partner nations
United StatesIndia

In The Last Decade

Sikha Rauth

16 papers receiving 373 citations

Peers

Sikha Rauth
Comparison fields: 5 of 61
  • Molecular Biology 305
  • Oncology 81
  • Genetics 77
  • Plant Science 56
  • Biotechnology 36
Replace Zhuanzhuan Su with:
Zhuanzhuan Su United States
Takuya Koshizaka Japan
Kyuichi Nemoto Japan
Ann R. Kennedy United States
Toshihiro Nakanishi Japan
L.A.M. Jansen Netherlands
B Roy United States
Jigyasa H. Tuteja United States
C. A. Hoy United States
Debjani Pal United States
Sikha Rauth relative to Zhuanzhuan Su United States Zhuanzhuan Su's profile →
Citations per field
00.5×
Zhuanzhuan Su · 1×
Citations per year

Countries citing papers authored by Sikha Rauth

Since Specialization
Citations

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

Fields of papers citing papers by Sikha Rauth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sikha Rauth

This figure shows the co-authorship network connecting the top 25 collaborators of Sikha Rauth. A scholar is included among the top collaborators of Sikha Rauth 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 Sikha Rauth. Sikha Rauth is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 28
2 5
3 56
4
Overexpression of EGF receptor is associated with spontaneous metastases of a human melanoma cell line in nude mice.
17
5 19
6
Establishment of a human melanoma cell line lacking p53 expression and spontaneously metastasizing in nude mice.
19
7 12
8 1
9 12
10 11
11 53
12 76
13 44
14 5
15 22
16 5

About Sikha Rauth

Sikha Rauth is a scholar working on Biotechnology, Cell Biology and Oncology, having authored 16 papers that have together received 385 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Cancer-related Molecular Pathways (4 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Molecular Biology (305 citations), Biotechnology (36 citations) and Oncology (81 citations). Sikha Rauth has collaborated with scholars based in United States and India. Frequent co-authors include Raju Kucherlapati, Julia V. Kichina, K Y Song, Lavanya Chekuri, Tapas K. Das Gupta, S. Dusko Ehrlich, Linda J. Wallace, David Ayares, Peter D. Moore and Richard L. Davidson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Oncogene.

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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