Muhammad Ikram Ullah

1.6k total citations · 1 hit paper
101 papers, 1.0k citations indexed

About

Muhammad Ikram Ullah is a scholar working on Molecular Biology, Epidemiology and Nutrition and Dietetics. According to data from OpenAlex, Muhammad Ikram Ullah has authored 101 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 10 papers in Epidemiology and 10 papers in Nutrition and Dietetics. Recurrent topics in Muhammad Ikram Ullah's work include Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), melanin and skin pigmentation (6 papers) and RNA regulation and disease (5 papers). Muhammad Ikram Ullah is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), melanin and skin pigmentation (6 papers) and RNA regulation and disease (5 papers). Muhammad Ikram Ullah collaborates with scholars based in Pakistan, Saudi Arabia and China. Muhammad Ikram Ullah's co-authors include Yousaf Ali Khan, M. Ijaz Khan, Sayed M. Eldin, Muhammad Naeem Khan, Haleema Sadia, Amjad Ali Shah, Bandar M. Fadhl, Omar T. Bafakeeh, Naimat Ullah and Nidhal Ben Khedher and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Muhammad Ikram Ullah

80 papers receiving 991 citations

Hit Papers

Classification, Synthetic, and Characterization Approache... 2022 2026 2023 2024 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Muhammad Ikram Ullah Pakistan 15 220 194 119 109 90 101 1.0k
Chandraiah Godugu India 22 426 1.9× 184 0.9× 135 1.1× 54 0.5× 61 0.7× 87 1.5k
Ruchi Verma India 21 343 1.6× 158 0.8× 157 1.3× 125 1.1× 201 2.2× 78 1.5k
Arun Meyyazhagan India 22 250 1.1× 136 0.7× 109 0.9× 148 1.4× 68 0.8× 116 1.3k
Mazen Almehmadi Saudi Arabia 25 334 1.5× 385 2.0× 171 1.4× 131 1.2× 55 0.6× 148 1.6k
Sumel Ashique India 22 553 2.5× 177 0.9× 256 2.2× 75 0.7× 72 0.8× 134 1.5k
Anil Kumar Banothu India 16 348 1.6× 114 0.6× 144 1.2× 60 0.6× 53 0.6× 46 935
Huiyun Wang China 22 347 1.6× 152 0.8× 106 0.9× 100 0.9× 51 0.6× 87 1.3k
Ekaterina Silina Russia 16 168 0.8× 166 0.9× 117 1.0× 60 0.6× 51 0.6× 141 976
Shaila A. Lewis India 26 473 2.1× 144 0.7× 213 1.8× 64 0.6× 47 0.5× 94 2.0k
Geeta Aggarwal India 25 350 1.6× 126 0.6× 183 1.5× 116 1.1× 33 0.4× 135 2.0k

Countries citing papers authored by Muhammad Ikram Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Ikram Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muhammad Ikram Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Ikram Ullah. A scholar is included among the top collaborators of Muhammad Ikram 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 Muhammad Ikram Ullah. Muhammad Ikram Ullah 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.
Majeed, Muhammad Irfan, Haq Nawaz, Nosheen Rashid, et al.. (2025). Surface-enhanced Raman spectroscopy for the characterization of filtrate portions of hepatitis B blood serum samples using 100 kDa ultra filtration devices. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 333. 125883–125883. 1 indexed citations
2.
Nawaz, Haq, Muhammad Irfan Majeed, Nosheen Rashid, et al.. (2025). Screening of Blood Serum Samples With Elevated Creatinine Levels From Renal Failure Patients Employing SERS Along With Multivariate Data Analysis Techniques. Journal of Raman Spectroscopy. 57(2). 255–268.
4.
5.
Khan, Muhammad Umer, et al.. (2025). Computational identification and evaluation of novel PD-L1 inhibitors for cancer immunotherapy. Scientific Reports. 15(1). 33787–33787.
6.
Ullah, Muhammad Ikram, et al.. (2025). Association of serum copper, zinc and copper to zinc ratio in patients with acute myeloid leukemia. Scientific Reports. 15(1). 34091–34091.
7.
Ullah, Muhammad Ikram, et al.. (2025). Multifunctional nanoparticles for image-guided drug delivery in nuclear medicine: advancements and applications. Journal of Radioanalytical and Nuclear Chemistry. 334(2). 1107–1121. 4 indexed citations
8.
Majeed, Muhammad Irfan, Haq Nawaz, Nosheen Rashid, et al.. (2025). Rapid Screening and Diagnosis Protocol for Malaria Based on Surface-Enhanced Raman Spectroscopy and Multivariate Data Analysis. Plasmonics. 21(1). 593–604.
9.
Shahzad, Muhammad, et al.. (2024). Comprehensive analysis of potato (Solanum tuberosum) PYL genes highlights their role in stress responses. Functional Plant Biology. 51(8). 8 indexed citations
10.
Farhana, Aisha, Abdullah Alsrhani, Nazia Nazam, et al.. (2023). Gold Nanoparticles Inhibit PMA-Induced MMP-9 Expression via microRNA-204-5p Upregulation and Deactivation of NF-κBp65 in Breast Cancer Cells. Biology. 12(6). 777–777. 9 indexed citations
11.
Ullah, Muhammad Ikram, Muhammad Atif, Haiba Kaul, et al.. (2022). Delineating Novel and Known Pathogenic Variants in TYR, OCA2 and HPS-1 Genes in Eight Oculocutaneous Albinism (OCA) Pakistani Families. Genes. 13(3). 503–503. 3 indexed citations
12.
Atif, Muhammad, Abdullah Alsrhani, Farrah Naz, et al.. (2021). Targeting Adenosine Receptors in Neurological Diseases. Cellular Reprogramming. 23(2). 57–72. 14 indexed citations
13.
Ejaz, Hasan, Sonia Younas, Khalid Omer Abdalla Abosalif, et al.. (2021). Molecular analysis of blaSHV, blaTEM, and blaCTX-M in extended-spectrum β-lactamase producing Enterobacteriaceae recovered from fecal specimens of animals. PLoS ONE. 16(1). e0245126–e0245126. 55 indexed citations
14.
Siddique, Nasir, et al.. (2021). Effect of anti-oxidant (α-lipoic acid) treatment on the improvement of diabetic neuropathic pain.. Rawal Medical Journal. 46(1). 33–36. 1 indexed citations
15.
Ullah, Muhammad Ikram, et al.. (2021). A review of COVID-19: Treatment strategies and CRISPR/Cas9 gene editing technology approaches to the coronavirus disease. Saudi Journal of Biological Sciences. 29(2). 860–871. 6 indexed citations
16.
Junaid, Kashaf, Hasan Ejaz, Abualgasim Elgaili Abdalla, et al.. (2020). Effective Immune Functions of Micronutrients against SARS-CoV-2. Nutrients. 12(10). 2992–2992. 50 indexed citations
17.
Alzahrani, Badr, et al.. (2020). Determination of Serum Adiponectin Levels in Type 2 Diabetes Patients of the Saudi Population in the Al-Jouf Region. 27(3). 257–262. 2 indexed citations
19.
Ullah, Muhammad Ikram, Arsalan Ahmad, Syed Irfan Raza, et al.. (2015). In silico analysis of SIGMAR1 variant (rs4879809) segregating in a consanguineous Pakistani family showing amyotrophic lateral sclerosis without frontotemporal lobar dementia. Neurogenetics. 16(4). 299–306. 35 indexed citations
20.
Nagi, A. H., et al.. (2011). Effect of Allium sativa L. on pancreatic . cells in comparison to Nigella sativa L. in streptozotocin induced diabetic rats. Journal of Medicinal Plants Research. 5(24). 5779–5784. 12 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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