Muhammad Sufyan

951 total citations · 1 hit paper
36 papers, 533 citations indexed

About

Muhammad Sufyan is a scholar working on Molecular Biology, Accounting and Artificial Intelligence. According to data from OpenAlex, Muhammad Sufyan has authored 36 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Accounting and 4 papers in Artificial Intelligence. Recurrent topics in Muhammad Sufyan's work include Corporate Finance and Governance (3 papers), vaccines and immunoinformatics approaches (3 papers) and Islamic Finance and Banking Studies (3 papers). Muhammad Sufyan is often cited by papers focused on Corporate Finance and Governance (3 papers), vaccines and immunoinformatics approaches (3 papers) and Islamic Finance and Banking Studies (3 papers). Muhammad Sufyan collaborates with scholars based in Pakistan, Finland and China. Muhammad Sufyan's co-authors include Mekhail Mustak, Joni Salminen, Usman Ali Ashfaq, Deepak Srivastava, Per Davidsson, Neelam Rashid, Muhammad Zafar, Mushtaq Ahmad, Saraj Bahadur and Sheikh Arslan Sehgal and has published in prestigious journals such as Langmuir, Journal of Business Research and Food Research International.

In The Last Decade

Muhammad Sufyan

33 papers receiving 508 citations

Hit Papers

Understanding the impact of online customers’ shopping ex... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Understanding the impact of online customers’ shopping experience on online impulsive buying: A study on two leading E-commerce platforms
    2022 133 citations Muhammad Sufyan, Mekhail Mustak et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Muhammad Sufyan Pakistan 11 111 97 78 74 54 36 533
Faridah Hassan Malaysia 13 88 0.8× 351 3.6× 22 0.3× 41 0.6× 31 0.6× 37 675
Danqing Wang China 14 228 2.1× 62 0.6× 59 0.8× 26 0.4× 108 2.0× 46 1.0k
Aihua Yan China 9 60 0.5× 67 0.7× 39 0.5× 83 1.1× 8 0.1× 37 633
Deepika Goyal India 11 30 0.3× 17 0.2× 51 0.7× 31 0.4× 43 0.8× 37 326
Steven H. Cohen United States 12 228 2.1× 55 0.6× 73 0.9× 24 0.3× 18 0.3× 24 706
Ruidong Zhang China 15 81 0.7× 186 1.9× 122 1.6× 164 2.2× 28 0.5× 65 903
Anjali Bansal India 13 25 0.2× 57 0.6× 134 1.7× 23 0.3× 23 0.4× 31 501
Dipankar Ghosh United States 18 48 0.4× 78 0.8× 160 2.1× 61 0.8× 23 0.4× 50 950
Muhammad Irshad Pakistan 12 56 0.5× 48 0.5× 16 0.2× 29 0.4× 70 1.3× 26 449

Countries citing papers authored by Muhammad Sufyan

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Sufyan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Sufyan

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Sufyan. A scholar is included among the top collaborators of Muhammad Sufyan 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 Muhammad Sufyan. Muhammad Sufyan 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
1.
Liu, Yanhong, Zheng Xu, R. Pandiselvam, et al.. (2024). Influences of emerging drying technologies on rice quality. Food Research International. 184. 114264–114264. 8 indexed citations
2.
Sufyan, Muhammad, et al.. (2024). Leadership Strategies in Improving the Effectiveness of Educational Programs in Nurul Jadid Student Dormitory. JIIP - Jurnal Ilmiah Ilmu Pendidikan. 7(3). 3227–3233.
3.
Sufyan, Muhammad, et al.. (2024). Identifying molecular subtypes of breast cancer using single cell RNA-seq data integration and random forest classification. International Journal of Bioinformatics Research and Applications. 20(5). 468–494. 1 indexed citations
4.
5.
Sufyan, Muhammad, et al.. (2023). Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective. Computers in Biology and Medicine. 165. 107356–107356. 78 indexed citations
6.
Najeeb, Jawayria, Md Tabish Rehman, Mohamed F. Alajmi, et al.. (2023). AI-driven Discovery of Celecoxib and Dexamethasone for Exploring their Mode of Action as Human Interleukin (IL-6) Inhibitors to Treat COVID-19-induced Cytokine Storm in Humans. Current Pharmaceutical Design. 29(34). 2752–2762. 4 indexed citations
7.
8.
Davidsson, Per & Muhammad Sufyan. (2023). What does AI think of AI as an external enabler (EE) of entrepreneurship? An assessment through and of the EE framework. Journal of Business Venturing Insights. 20. e00413–e00413. 29 indexed citations
9.
Sufyan, Muhammad, et al.. (2022). Implementasi Metode Ceramah Dalam Meningkatkan Hasil Belajar Mata Pelajaran Pendidikan Agama Islam di SMAN 1 Lareh Sago Halaban. Indonesian Research Journal On Education. 3(1). 747–754. 2 indexed citations
10.
Sufyan, Muhammad, et al.. (2022). Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda. Journal of Business Research. 154. 113303–113303. 41 indexed citations
11.
Tunyi, Abongeh A., et al.. (2022). Powerful bidders and value creation in M&As. International Review of Financial Analysis. 81. 102076–102076. 8 indexed citations
12.
Sufyan, Muhammad, et al.. (2021). Implementation of Vaccinomics and In-Silico Approaches to Construct Multimeric Based Vaccine Against Ovarian Cancer. International Journal of Peptide Research and Therapeutics. 27(4). 2845–2859. 4 indexed citations
13.
14.
Sufyan, Muhammad, Usman Ali Ashfaq, Sajjad Ahmad, et al.. (2021). Identifying key genes and screening therapeutic agents associated with diabetes mellitus and HCV-related hepatocellular carcinoma by bioinformatics analysis. Saudi Journal of Biological Sciences. 28(10). 5518–5525. 22 indexed citations
15.
Sufyan, Muhammad, et al.. (2020). Determine the Potential Epitope Based Peptide Vaccine Against Novel SARS-CoV-2 Targeting Structural Proteins Using Immunoinformatics Approaches. Frontiers in Molecular Biosciences. 7. 227–227. 21 indexed citations
16.
17.
Khan, Faisal, et al.. (2019). The effect of Workforce Diversity on Employee Performance in Higher Education Sector. 6(3). 1–8. 15 indexed citations
18.
Sufyan, Muhammad, et al.. (2018). Identification of Medicinally Used Flora Using Pollen Features Imaged in the Scanning Electron Microscopy in the Lower Margalla Hills Islamabad Pakistan. Microscopy and Microanalysis. 24(3). 292–299. 46 indexed citations
19.
Abbasi, Asim, et al.. (2017). A Review on Biological Control of Mosquito Vectors. 4(12). 1 indexed citations
20.
Sufyan, Muhammad, et al.. (2016). Investor’s Emotional Intelligence and Impact on Investment Decision. International Journal of Academic Research in Progressive Education and Development. 5(3). 12–28. 6 indexed citations

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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