Ehsan Ullah

755 total citations · 1 hit paper
49 papers, 468 citations indexed

About

Ehsan Ullah is a scholar working on Molecular Biology, Biophysics and Epidemiology. According to data from OpenAlex, Ehsan Ullah has authored 49 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 7 papers in Biophysics and 5 papers in Epidemiology. Recurrent topics in Ehsan Ullah's work include Microbial Metabolic Engineering and Bioproduction (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers) and Bioinformatics and Genomic Networks (7 papers). Ehsan Ullah is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (8 papers), Spectroscopy Techniques in Biomedical and Chemical Research (7 papers) and Bioinformatics and Genomic Networks (7 papers). Ehsan Ullah collaborates with scholars based in Qatar, United States and New Zealand. Ehsan Ullah's co-authors include Mirza Mansoor Baig, Rajendra Singh, Anil V. Parwani, Raghvendra Mall, Soha Hassoun, Halima Bensmail, Khalid Al‐Saad, Prasanna R. Kolatkar, Tariq Ahmed and Khalid Kunji and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of the American College of Cardiology.

In The Last Decade

Ehsan Ullah

47 papers receiving 454 citations

Hit Papers

Challenges and barriers of using large language models (L... 2024 2026 2025 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ehsan Ullah Qatar 12 139 73 69 53 48 49 468
Ziheng Hu United States 9 191 1.4× 16 0.2× 35 0.5× 41 0.8× 33 0.7× 16 465
Chayna Sarkar India 17 138 1.0× 17 0.2× 21 0.3× 50 0.9× 29 0.6× 34 682
Monica Isgut United States 7 55 0.4× 60 0.8× 66 1.0× 31 0.6× 39 0.8× 14 277
Ngan Nguyen Taiwan 14 261 1.9× 14 0.2× 53 0.8× 45 0.8× 50 1.0× 44 725
Ha Eun Lee South Korea 13 124 0.9× 32 0.4× 34 0.5× 53 1.0× 43 0.9× 58 497
Yankang Jing United States 9 217 1.6× 16 0.2× 35 0.5× 36 0.7× 30 0.6× 13 476
Benjamin Kompa United States 6 30 0.2× 76 1.0× 128 1.9× 13 0.2× 59 1.2× 8 338
Augusto Anguita‐Ruiz Spain 14 71 0.5× 19 0.3× 83 1.2× 46 0.9× 13 0.3× 38 532
Evelyne Bischof China 11 123 0.9× 16 0.2× 11 0.2× 16 0.3× 23 0.5× 32 437
Karlie R. Sharma United States 4 64 0.5× 84 1.2× 84 1.2× 25 0.5× 36 0.8× 7 268

Countries citing papers authored by Ehsan Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Ehsan Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ehsan Ullah

This figure shows the co-authorship network connecting the top 25 collaborators of Ehsan Ullah. A scholar is included among the top collaborators of Ehsan 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 Ehsan Ullah. Ehsan 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.
Ullah, Ehsan, Anil V. Parwani, Mirza Mansoor Baig, & Rajendra Singh. (2024). Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology – a recent scoping review. Diagnostic Pathology. 19(1). 43–43. 121 indexed citations breakdown →
2.
Saad, Mohamad, Ayman El‐Menyar, Khalid Kunji, et al.. (2022). Validation of Polygenic Risk Scores for Coronary Heart Disease in a Middle Eastern Cohort Using Whole Genome Sequencing. Circulation Genomic and Precision Medicine. 15(6). e003712–e003712. 9 indexed citations
3.
Mroué, Kamal H., et al.. (2022). Investigation of the Effect of Exendin-4 on Oleic Acid-Induced Steatosis in HepG2 Cells Using Fourier Transform Infrared Spectroscopy. Biomedicines. 10(10). 2652–2652. 7 indexed citations
4.
Ullah, Ehsan, Ayman El‐Menyar, Khalid Kunji, et al.. (2022). Untargeted Metabolomics Profiling Reveals Perturbations in Arginine-NO Metabolism in Middle Eastern Patients with Coronary Heart Disease. Metabolites. 12(6). 517–517. 5 indexed citations
5.
Mir, Fayaz Ahmad, Raghvendra Mall, Ahmad Iskandarani, et al.. (2022). Characteristic MicroRNAs Linked to Dysregulated Metabolic Pathways in Qatari Adult Subjects With Obesity and Metabolic Syndrome. Frontiers in Endocrinology. 13. 937089–937089. 21 indexed citations
6.
Al‐Saad, Khalid, Şebnem Garip, Ehsan Ullah, et al.. (2021). Fourier Transform Infrared Imaging—A Novel Approach to Monitor Bio Molecular Changes in Subacute Mild Traumatic Brain Injury. Brain Sciences. 11(7). 918–918. 6 indexed citations
7.
Ullah, Ehsan, Ayman El‐Menyar, Khalid Kunji, et al.. (2021). METABOLOMICS REVEALS PERTURBATIONS IN ARGININE-NO METABOLISM, PURINE BIOSYNTHESIS AND CELLULAR ENERGY CHARGE IN PATIENTS WITH CORONARY HEART DISEASE. Journal of the American College of Cardiology. 77(18). 22–22. 1 indexed citations
8.
Abbas, Mostafa, et al.. (2020). Simple risk score to screen for prediabetes: A cross‐sectional study from the Qatar Biobank cohort. Journal of Diabetes Investigation. 12(6). 988–997. 15 indexed citations
9.
Baig, Mirza Mansoor, et al.. (2020). A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model. Medical & Biological Engineering & Computing. 58(7). 1459–1466. 9 indexed citations
10.
Al‐Saad, Khalid, et al.. (2020). Biomolecular alterations in acute traumatic brain injury (TBI) using Fourier transform infrared (FTIR) imaging spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 248. 119189–119189. 13 indexed citations
11.
Maqbool, Shazia, et al.. (2019). USE OF ICF-CY IN ASSESSING LEVEL OF KNOWLEDGE OF DIFFERENT PROFESSIONALS WORKING WITH CHILDREN HAVING CEREBRAL PALSY. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Baig, Mirza Mansoor, et al.. (2019). Predicting Patients at Risk of 30-Day Unplanned Hospital Readmission. Studies in health technology and informatics. 266. 20–24. 2 indexed citations
13.
Toor, Salman M., Raghvendra Mall, Ehsan Ullah, et al.. (2019). Investigation of the Effect of PD-L1 Blockade on Triple Negative Breast Cancer Cells Using Fourier Transform Infrared Spectroscopy. Vaccines. 7(3). 109–109. 13 indexed citations
14.
Nischwitz, Volker, Ehsan Ullah, Raghvendra Mall, et al.. (2018). Application of FTIR and LA-ICPMS Spectroscopies as a Possible Approach for Biochemical Analyses of Different Rat Brain Regions. Applied Sciences. 8(12). 2436–2436. 14 indexed citations
15.
Ullah, Ehsan, Raghvendra Mall, Mostafa Abbas, et al.. (2018). Comparison and assessment of family- and population-based genotype imputation methods in large pedigrees. Genome Research. 29(1). 125–134. 16 indexed citations
16.
Rawi, Reda, Raghvendra Mall, Khalid Kunji, et al.. (2016). COUSCOus: improved protein contact prediction using an empirical Bayes covariance estimator. BMC Bioinformatics. 17(1). 533–533. 2 indexed citations
17.
Ullah, Ehsan, et al.. (2015). ASTHMA CARE PERCEPTIONS AND PRACTICES AMONG GENERAL PRACTITIONERS AT BAHAWALPUR. 14(3). 1 indexed citations
18.
Sridharan, Gautham, Ehsan Ullah, Soha Hassoun, & Kyongbum Lee. (2015). Discovery of substrate cycles in large scale metabolic networks using hierarchical modularity. BMC Systems Biology. 9(1). 5–5. 4 indexed citations
19.
Mujtaba, Muhammad A., et al.. (2014). Knowledge and awareness of medical ethics among medical graduates from two medical colleges in Lahore, Pakistan -. Rawal Medical Journal. 39(3). 341–343. 2 indexed citations
20.
Ullah, Ehsan, Kyongbum Lee, & Soha Hassoun. (2009). An algorithm for identifying dominant-edge metabolic pathways. International Conference on Computer Aided Design. 144–150. 8 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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