Sheraz Gul

2.1k citations
90 papers · 1.2k indexed · h-index 20
Topics
Trypanosoma species research and implications (13 papers)Research on Leishmaniasis Studies (12 papers)Computational Drug Discovery Methods (10 papers)
Journals
SHILAP Revista de lepidopterologíaBiochemistryStroke

In The Last Decade

Sheraz Gul

83 papers receiving 1.2k citations

Peers

Sheraz Gul
Comparison fields: 5 of 112
  • Molecular Biology 736
  • Organic Chemistry 217
  • Oncology 215
  • Computational Theory and Mathematics 116
  • Epidemiology 115
Replace Mark E. Schurdak with:
Mark E. Schurdak United States
Jaeki Min United States
Michelle Palmer United States
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Theodore Tselios Greece
Nassima Oumata France
Hiroshi Takemoto Japan
Heiko Düßmann Ireland
William Seibel United States
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Sheraz Gul relative to Mark E. Schurdak United States Mark E. Schurdak's profile →
Citations per field
00.5×1.5×2.0×
Mark E. Schurdak · 1×
Citations per year

Countries citing papers authored by Sheraz Gul

Since Specialization
Citations

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

Fields of papers citing papers by Sheraz Gul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheraz Gul

This figure shows the co-authorship network connecting the top 25 collaborators of Sheraz Gul. A scholar is included among the top collaborators of Sheraz Gul 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 Sheraz Gul. Sheraz Gul 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 0
3 2
4 2
5 3
6 6
7 2
8 5
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10 8
11 8
12 5
13 6
14 12
15 30
16 25
17 39
18 13
19
The evolution of the Contract Research Organisation and the future of the pharmaceutical industry
3
20 2

About Sheraz Gul

Sheraz Gul is a scholar working on Developmental Neuroscience, Molecular Biology and Computational Theory and Mathematics, having authored 90 papers that have together received 1.2k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (13 papers), Research on Leishmaniasis Studies (12 papers) and Computational Drug Discovery Methods (10 papers). The work is most often cited by research in Developmental Neuroscience (57 citations), Molecular Biology (736 citations) and Oncology (215 citations). Sheraz Gul has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Kamyar Hadian, K Brocklehurst, Philip Gribbon, L.N. Johnson, S.J. Gamblin, M.E.M. Noble, Ivo Tews, E.D. Lowe, Nick R. Brown and Chandra Verma. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemistry and Stroke.

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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