Mukhtar Ullah

782 total citations
21 papers, 461 citations indexed

About

Mukhtar Ullah is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Mukhtar Ullah has authored 21 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Mukhtar Ullah's work include Gene Regulatory Network Analysis (7 papers), Retinal Development and Disorders (5 papers) and Bioinformatics and Genomic Networks (4 papers). Mukhtar Ullah is often cited by papers focused on Gene Regulatory Network Analysis (7 papers), Retinal Development and Disorders (5 papers) and Bioinformatics and Genomic Networks (4 papers). Mukhtar Ullah collaborates with scholars based in Pakistan, Germany and Switzerland. Mukhtar Ullah's co-authors include Olaf Wolkenhauer, X-J Yang, Walter Kölch, P.E. Wellstead, Kwang‐Hyun Cho, Henning Schmidt, Sree N. Sreenath, Haleema Sadia, Raffaele Pezzani and William C. Cho and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Scientific Reports.

In The Last Decade

Mukhtar Ullah

18 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mukhtar Ullah Pakistan	11	395	60	36	28	27	21	461
Sergey Aksenov United States	12	236 0.6×	69 1.1×	21 0.6×	33 1.2×	79 2.9×	24	408
Dongsan Kim South Korea	10	247 0.6×	32 0.5×	25 0.7×	19 0.7×	20 0.7×	15	298
Xiaoguang Li China	13	222 0.6×	29 0.5×	18 0.5×	18 0.6×	19 0.7×	23	344
Alessandro Di Cara Switzerland	9	535 1.4×	80 1.3×	36 1.0×	45 1.6×	23 0.9×	17	671
Chiara Damiani Italy	12	322 0.8×	33 0.6×	66 1.8×	27 1.0×	9 0.3×	22	406
Paul Brazhnik United States	9	531 1.3×	96 1.6×	28 0.8×	35 1.3×	109 4.0×	12	600
Bahar Yilmazel United States	6	354 0.9×	36 0.6×	33 0.9×	63 2.3×	21 0.8×	9	447
Marine Dumousseau United Kingdom	9	491 1.2×	39 0.7×	22 0.6×	68 2.4×	14 0.5×	9	563
Dominik M. Wittmann Germany	6	256 0.6×	31 0.5×	12 0.3×	59 2.1×	11 0.4×	10	311
Alexandre F. Ramos Brazil	12	214 0.5×	66 1.1×	14 0.4×	14 0.5×	18 0.7×	30	291

Countries citing papers authored by Mukhtar Ullah

Since Specialization

Citations

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

Fields of papers citing papers by Mukhtar Ullah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukhtar Ullah

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

All Works

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20 of 20 papers shown

Ullah, Mukhtar, Mathieu Quinodoz, Abdur Rashid, et al.. (2025). A comprehensive genetic landscape of inherited retinal diseases in a large Pakistani cohort. npj Genomic Medicine. 10(1). 31–31. 2 indexed citations

Blanco‐Kelly, Fiona, Saoud Tahsin Swafiri, Mathieu Quinodoz, et al.. (2025). Identification of new families and variants in autosomal dominant macular dystrophy associated with THRB. Scientific Reports. 15(1). 14904–14904.

Ullah, Mukhtar, et al.. (2024). Soliton dynamics of the KdV–mKdV equation using three distinct exact methods in nonlinear phenomena. Nonlinear Engineering. 13(1). 4 indexed citations

Ullah, Mukhtar, et al.. (2023). A novel homozygous missense substitution p.Thr313Ile in the PDE6B gene underlies autosomal recessive retinitis pigmentosa in a consanguineous Pakistani family. BMC Ophthalmology. 23(1). 116–116. 1 indexed citations

Ullah, Mukhtar, Niamat Khan, Lettie E. Rawlins, et al.. (2023). Unravelling the genetic basis of retinal dystrophies in Pakistani consanguineous families. BMC Ophthalmology. 23(1). 205–205.

Ullah, Mukhtar, Marc Folcher, Faisal Usman, et al.. (2023). A Novel Intronic Deletion in PDE6B Causes Autosomal Recessive Retinitis Pigmentosa by Interfering with RNA Splicing. Ophthalmic Research. 66(1). 878–884. 1 indexed citations

Sadia, Haleema, Mukhtar Ullah, Asma Irshad, et al.. (2022). Mutational analysis of exons 5-9 of TP53 gene in breast cancer patients of Punjabi ethnicity. Advancements in Life Sciences. 9(1). 18–18. 1 indexed citations

Javed, Zeeshan, Sadegh Rajabi, Mukhtar Ullah, et al.. (2020). LncRNAs as Potential Therapeutic Targets in Thyroid Cancer. Asian Pacific Journal of Cancer Prevention. 21(2). 281–287. 24 indexed citations

Javed, Zeeshan, Mukhtar Ullah, Haleema Sadia, et al.. (2019). Wnt Signaling: A Potential Therapeutic Target in Head and Neck Squamous Cell Carcinoma. Asian Pacific Journal of Cancer Prevention. 20(4). 995–1003. 19 indexed citations

10.

Bhatti, Aamer Iqbal, et al.. (2017). State feedback based intervention design in Wnt and cell cycle network. 4242–4247.

11.

Javed, Zeeshan, Mukhtar Ullah, Muhammad Shahzad, et al.. (2016). Role of MicroRNA in Endometrial Carcinoma. SHILAP Revista de lepidopterología. 3 indexed citations

12.

Ullah, Mukhtar & Olaf Wolkenhauer. (2011). Stochastic Approaches for Systems Biology. CERN Document Server (European Organization for Nuclear Research). 27 indexed citations

13.

Ullah, Mukhtar & Olaf Wolkenhauer. (2009). Investigating the two-moment characterisation of subcellular biochemical networks. Journal of Theoretical Biology. 260(3). 340–352. 15 indexed citations

14.

Ullah, Mukhtar & Olaf Wolkenhauer. (2009). Stochastic approaches in systems biology. WIREs Systems Biology and Medicine. 2(4). 385–397. 43 indexed citations

15.

Yang, X-J & Mukhtar Ullah. (2007). MOZ and MORF, two large MYSTic HATs in normal and cancer stem cells. Oncogene. 26(37). 5408–5419. 112 indexed citations

16.

Ullah, Mukhtar & Olaf Wolkenhauer. (2007). Family tree of Markov models in systems biology. IET Systems Biology. 1(4). 247–254. 15 indexed citations

17.

Ullah, Mukhtar, et al.. (2006). Deterministic modelling and stochastic simulation of biochemical pathways using MATLAB. PubMed. 153(2). 53–53. 24 indexed citations

18.

Wolkenhauer, Olaf, Mukhtar Ullah, P.E. Wellstead, & Kwang‐Hyun Cho. (2005). The dynamic systems approach to control and regulation of intracellular networks. FEBS Letters. 579(8). 1846–1853. 57 indexed citations

19.

Wolkenhauer, Olaf, et al.. (2005). A systems- and signal-oriented approach to intracellular dynamics. Biochemical Society Transactions. 33(3). 507–515. 26 indexed citations

20.

Wolkenhauer, Olaf, et al.. (2004). Modeling and Simulation of Intracellular Dynamics: Choosing an Appropriate Framework. IEEE Transactions on NanoBioscience. 3(3). 200–207. 86 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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