Shafaq Sikandar

1.6k citations
27 papers · 959 indexed · h-index 15
Topics
Pain Mechanisms and Treatments (20 papers)Ion channel regulation and function (5 papers)Pain Management and Opioid Use (4 papers)

In The Last Decade

Shafaq Sikandar

26 papers receiving 949 citations

Peers

Shafaq Sikandar
Comparison fields: 5 of 94
  • Physiology 599
  • Cellular and Molecular Neuroscience 332
  • Molecular Biology 274
  • Surgery 113
  • Pharmacology 110
Replace Ernest Jennings with:
Ernest Jennings Australia
Masahito Kawatani Japan
Noboru Noma Japan
Geoffrey M. Bove United States
Isobel J. Lever United Kingdom
Kyle M. Baumbauer United States
Louis P. Vera–Portocarrero United States
Lars Jørgen Rygh Norway
Sarah Low United States
J. G. Collins United States
Shafaq Sikandar relative to Ernest Jennings Australia Ernest Jennings's profile →
Citations per field
00.5×2.8×
Ernest Jennings · 1×
Citations per year

Countries citing papers authored by Shafaq Sikandar

Since Specialization
Citations

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

Fields of papers citing papers by Shafaq Sikandar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shafaq Sikandar

This figure shows the co-authorship network connecting the top 25 collaborators of Shafaq Sikandar. A scholar is included among the top collaborators of Shafaq Sikandar 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 Shafaq Sikandar. Shafaq Sikandar 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 0
2 3
3 21
4 46
5 6
6 37
7 4
8 47
9 7
10 5
11
Cold sensing by Naᵥ1.8-positive and Naᵥ1.8-negative sensory neurons
3
12 21
13 7
14 23
15 134
16 10
17 57
18 148
19 21
20 25

About Shafaq Sikandar

Shafaq Sikandar is a scholar working on Physiology, Anesthesiology and Pain Medicine and Sensory Systems, having authored 27 papers that have together received 959 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (20 papers), Ion channel regulation and function (5 papers) and Pain Management and Opioid Use (4 papers). The work is most often cited by research in Physiology (599 citations), Sensory Systems (99 citations) and Cellular and Molecular Neuroscience (332 citations). Shafaq Sikandar has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Anthony H. Dickenson, John N. Wood, Sonia Santana‐Varela, Jing Zhao, Queensta Millet, Michael S. Minett, Ana Paula Luiz, Gian Domenico Iannetti, Edward C. Emery and Joanne Lau. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

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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