Shafqat Rasool

857 citations
39 papers · 574 · h-index 10

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
  • Epidemiology top 10%
    • Autophagy in Disease and Therapy

Papers in

Shafqat Rasool

27 papers receiving 563 citations

Peers

Shafqat Rasool
Comparison fields: 5 of 100
  • Neurology 164
  • Epidemiology 272
  • Cell Biology 68
  • Clinical Biochemistry 26
  • Molecular Biology 265
Replace Robert W. Button with:
Robert W. Button United Kingdom
Ziheng Chen China
François Le Guerroué United States
Jorn-Hon Liu Taiwan
Shirley Tremel United Kingdom
You‐Kyung Lee South Korea
Zhenzhong Li China
Amanda M. Schalk United States
Bret A. Unger United States
Simon E. Tröder Germany
Shafqat Rasool relative to Robert W. Button United Kingdom Robert W. Button's profile →
Citations per field
00.5×5.7×
Robert W. Button · 1×
Citations per year

Countries citing papers authored by Shafqat Rasool

Since Specialization
Citations

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

Fields of papers citing papers by Shafqat Rasool

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shafqat Rasool, 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 Shafqat Rasool Line = papers co-authored together Shafqat Rasool links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015166
2 201891
3 202177
4 201552
5 201932
6 201225
7 202222
8
Mucormycosis in patients with complicated cirrhosis.
200719
9 201819
10 202218
11 20209
12 20158
13 20247
14 20156
15 20194
16 20174
17 20213
18 20222
19 20191
20 20141

About Shafqat Rasool

Shafqat Rasool is a scholar working on Molecular Biology, Epidemiology, Political Science and International Relations, Sociology and Political Science and Oncology, having authored 39 papers that have together received 574 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Ubiquitin and proteasome pathways (5 papers), Higher Education Governance and Development (3 papers), Mitochondrial Function and Pathology (3 papers), Microtubule and mitosis dynamics (2 papers), Hepatitis C virus research (2 papers), Politics and Conflicts in Afghanistan, Pakistan, and Middle East (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (164 citations), Epidemiology (272 citations), Cell Biology (68 citations), Clinical Biochemistry (26 citations) and Molecular Biology (265 citations). Shafqat Rasool has collaborated with scholars based in Pakistan, Canada and United States. Frequent co-authors include Jean‐François Trempe, Gergely L. Lukács, Naoto Soya, Véronique Sauvé, Marta Vranas, Kalle Gehring, Nathalie Croteau, Guennadi Kozlov, Mohammad Mehdi Rashidi and Asparouh Lilov. Their work appears in journals such as Molecular Cell, BMC Gastroenterology, Scientific Reports, PLoS ONE and Ain Shams Engineering Journal.

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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