Saima Ajaz

666 total citations
9 papers, 477 citations indexed

About

Saima Ajaz is a scholar working on Molecular Biology, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Saima Ajaz has authored 9 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Clinical Biochemistry. Recurrent topics in Saima Ajaz's work include Mitochondrial Function and Pathology (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Metabolism and Genetic Disorders (3 papers). Saima Ajaz is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Metabolism and Genetic Disorders (3 papers). Saima Ajaz collaborates with scholars based in United Kingdom, United States and Switzerland. Saima Ajaz's co-authors include Afshan N. Malik, Luigi Gnudi, Anna Czajka, Francesca M. Trovato, Mark McPhail, Salma Mujib, Kosh Agarwal, Salvatore Napoli, Keshav K. Singh and Peter M. Jones and has published in prestigious journals such as The FASEB Journal, Journal of Hepatology and American Journal of Physiology-Cell Physiology.

In The Last Decade

Saima Ajaz

7 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Saima Ajaz United Kingdom	6	233	111	101	91	83	9	477
Ester Tobías Spain	15	243 1.0×	87 0.8×	225 2.2×	42 0.5×	65 0.8×	30	690
George C. Liu Canada	9	181 0.8×	184 1.7×	90 0.9×	26 0.3×	15 0.2×	9	706
Kaiyu Xu China	10	488 2.1×	234 2.1×	81 0.8×	12 0.1×	34 0.4×	14	703
Ana E. Huerta Spain	12	129 0.6×	233 2.1×	123 1.2×	15 0.2×	54 0.7×	22	554
Karen Felsmann Germany	4	168 0.7×	59 0.5×	174 1.7×	29 0.3×	30 0.4×	4	411
Chloe Y. Y. Cheung Hong Kong	14	140 0.6×	69 0.6×	84 0.8×	12 0.1×	22 0.3×	29	456
Jian Lv China	10	212 0.9×	24 0.2×	88 0.9×	20 0.2×	18 0.2×	23	427
Xinpu Chen United States	10	186 0.8×	106 1.0×	86 0.9×	15 0.2×	24 0.3×	15	408
Ting-I Lee Taiwan	14	254 1.1×	50 0.5×	132 1.3×	20 0.2×	32 0.4×	22	742
Thibault Teissier France	5	97 0.4×	86 0.8×	41 0.4×	95 1.0×	13 0.2×	5	357

Countries citing papers authored by Saima Ajaz

Since Specialization

Citations

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

Fields of papers citing papers by Saima Ajaz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saima Ajaz

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

All Works

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9 of 9 papers shown

1.

Andersson, Anneli, Rohit Loomba, Sofia Mouchti, et al.. (2025). Change in cT1 Following Interventions in MASLD: A Systematic Review and Meta-Analysis. Clinical Gastroenterology and Hepatology. 24(2). 355–364.e15. 1 indexed citations

2.

Ajaz, Saima, et al.. (2024). Lack of awareness and ethnic polarity is a major cause of metabolic associated fatty liver disease in high-risk diabetes population in South London. Therapeutic Advances in Chronic Disease. 15. 394313115–394313115.

3.

Agarwal, Kosh, et al.. (2022). Lack of awareness of a NAFLD pandemic in a high risk group. Is it time to act in primary care?. Journal of Hepatology. 77. S171–S171.

4.

Ajaz, Saima, Mark McPhail, Luigi Gnudi, et al.. (2020). Mitochondrial dysfunction as a mechanistic biomarker in patients with non-alcoholic fatty liver disease (NAFLD). Mitochondrion. 57. 119–130. 58 indexed citations

5.

Rosa, Hannah S., Saima Ajaz, Luigi Gnudi, & Afshan N. Malik. (2020). A case for measuring both cellular and cell‐free mitochondrial DNA as a disease biomarker in human blood. The FASEB Journal. 34(9). 12278–12288. 31 indexed citations

6.

Ajaz, Saima, Mark McPhail, Keshav K. Singh, et al.. (2020). Mitochondrial metabolic manipulation by SARS-CoV-2 in peripheral blood mononuclear cells of patients with COVID-19. American Journal of Physiology-Cell Physiology. 320(1). C57–C65. 149 indexed citations

7.

Czajka, Anna, Saima Ajaz, Luigi Gnudi, et al.. (2015). Altered Mitochondrial Function, Mitochondrial DNA and Reduced Metabolic Flexibility in Patients With Diabetic Nephropathy. EBioMedicine. 2(6). 499–512. 145 indexed citations

8.

Malik, Afshan N., Saima Ajaz, Roxanne Crosby‐Nwaobi, et al.. (2015). Altered circulating mitochondrial DNA and increased inflammation in patients with diabetic retinopathy. Diabetes Research and Clinical Practice. 110(3). 257–265. 52 indexed citations

9.

Ajaz, Saima, Anna Czajka, & Afshan N. Malik. (2015). Accurate Measurement of Circulating Mitochondrial DNA Content from Human Blood Samples Using Real-Time Quantitative PCR. Methods in molecular biology. 1264. 117–131. 41 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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