Shavali Shaik

4.4k citations
43 papers · 3.2k indexed · 1 hit paper · h-index 30
Topics
Ubiquitin and proteasome pathways (14 papers)Parkinson's Disease Mechanisms and Treatments (12 papers)Cancer-related Molecular Pathways (8 papers)

In The Last Decade

Shavali Shaik

42 papers receiving 3.1k citations

Hit Papers

SCFFBW7 regulates cellular apoptosis by targeting MCL1 fo...20112026201620212011100200300400500

Peers

Shavali Shaik
Comparison fields: 5 of 112
  • Molecular Biology 2.2k
  • Oncology 769
  • Neurology 421
  • Cell Biology 420
  • Cellular and Molecular Neuroscience 381
Replace Christoph Ullmer with:
Christoph Ullmer Switzerland
José M. Lizcano Spain
María Salazar‐Roa Spain
Thomas L. Deckwerth United States
Yasushi Enokido Japan
Carol M. Troy United States
Jason G. MacLaurin Canada
Tomoyuki Nishizaki Japan
Natalia A. Riobo‐Del Galdo United States
Axel Methner Germany
Shavali Shaik relative to Christoph Ullmer Switzerland Christoph Ullmer's profile →
Citations per field
00.5×1.7×
Christoph Ullmer · 1×
Citations per year

Countries citing papers authored by Shavali Shaik

Since Specialization
Citations

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

Fields of papers citing papers by Shavali Shaik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shavali Shaik

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 27
3 133
4
FPGA Implementation DIFFIE-HELLMAN key Exchange Algorithm using DES
1
5 175
6 55
7 74
8 209
9
SCFFBW7 regulates cellular apoptosis by targeting MCL1 for ubiquitylation and destructionbreakdown →
537
10 74
11 31
12 134
13 16
14 15
15 32
16 94
17 94
18 21
19 25
20 126

About Shavali Shaik

Shavali Shaik is a scholar working on Neurology, Neurology and Cell Biology, having authored 43 papers that have together received 3.2k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (14 papers), Parkinson's Disease Mechanisms and Treatments (12 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Oncology (769 citations) and Neurology (421 citations). Shavali Shaik has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Manuchair Ebadi, Wenyi Wei, Hiroyuki Inuzuka, Lixin Wan, Daming Gao, Steven P. Gygi, Hidefumi Fukushima, Alan W. Lau, Piyarat Govitrapong and Holly M. Brown‐Borg. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

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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