Afshan N. Malik

2.8k total citations
50 papers, 1.9k citations indexed

About

Afshan N. Malik is a scholar working on Molecular Biology, Clinical Biochemistry and Surgery. According to data from OpenAlex, Afshan N. Malik has authored 50 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 14 papers in Clinical Biochemistry and 5 papers in Surgery. Recurrent topics in Afshan N. Malik's work include Mitochondrial Function and Pathology (18 papers), Metabolism and Genetic Disorders (12 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Afshan N. Malik is often cited by papers focused on Mitochondrial Function and Pathology (18 papers), Metabolism and Genetic Disorders (12 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Afshan N. Malik collaborates with scholars based in United Kingdom, United States and Italy. Afshan N. Malik's co-authors include Anna Czajka, Saima Ajaz, Phil Cunningham, Luigi Gnudi, Peter M. Jones, Ghada Al‐Kafaji, Hannah S. Rosa, Abas H. Laftah, Fiona Reid and Rachel Page and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and Blood.

In The Last Decade

Afshan N. Malik

47 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Afshan N. Malik United Kingdom 23 1.1k 358 353 279 155 50 1.9k
Carlo Pesce Italy 28 794 0.7× 308 0.9× 286 0.8× 183 0.7× 310 2.0× 84 2.4k
Yasukazu Yamada Japan 25 1.4k 1.2× 249 0.7× 194 0.5× 313 1.1× 399 2.6× 111 2.3k
Akihiko Saito Japan 25 838 0.7× 207 0.6× 126 0.4× 104 0.4× 164 1.1× 65 1.9k
William Y. Yang United States 24 991 0.9× 197 0.6× 207 0.6× 181 0.6× 130 0.8× 31 2.0k
Masahiro Naruse Japan 9 539 0.5× 488 1.4× 279 0.8× 208 0.7× 157 1.0× 16 1.6k
R. Studer Germany 30 1.6k 1.4× 490 1.4× 160 0.5× 96 0.3× 254 1.6× 51 3.4k
Radha Ananthakrishnan United States 30 1.1k 0.9× 430 1.2× 1.1k 3.0× 244 0.9× 172 1.1× 114 2.8k
Yiting Tang China 24 1.2k 1.1× 125 0.3× 336 1.0× 313 1.1× 171 1.1× 50 2.1k
Naoto Nakamura Japan 23 548 0.5× 175 0.5× 226 0.6× 168 0.6× 246 1.6× 66 1.5k
Joëlle Perez France 26 739 0.7× 225 0.6× 80 0.2× 205 0.7× 147 0.9× 51 2.0k

Countries citing papers authored by Afshan N. Malik

Since Specialization
Citations

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

Fields of papers citing papers by Afshan N. Malik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Afshan N. Malik. 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 Afshan N. Malik. The network helps show where Afshan N. Malik may publish in the future.

Co-authorship network of co-authors of Afshan N. Malik

This figure shows the co-authorship network connecting the top 25 collaborators of Afshan N. Malik. A scholar is included among the top collaborators of Afshan N. Malik 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 Afshan N. Malik. Afshan N. Malik 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.
Dieteren, Cindy E., Jori A. Wagenaars, Els M.A. van de Westerlo, et al.. (2023). Stress‐dependent macromolecular crowding in the mitochondrial matrix. The EMBO Journal. 42(7). e108533–e108533. 16 indexed citations
2.
Malik, Afshan N.. (2023). Mitochondrial DNA – novel mechanisms of kidney damage and potential biomarker. Current Opinion in Nephrology & Hypertension. 32(6). 528–536. 11 indexed citations
3.
Duggett, Natalie A., et al.. (2022). Preclinical evidence for mitochondrial DNA as a potential blood biomarker for chemotherapy-induced peripheral neuropathy. PLoS ONE. 17(1). e0262544–e0262544. 11 indexed citations
4.
Lunnon, Katie, Aoife Keohane, Ruth Pidsley, et al.. (2017). Mitochondrial genes are altered in blood early in Alzheimer's disease. Neurobiology of Aging. 53. 36–47. 128 indexed citations
5.
Malik, Afshan N., Anna Czajka, & Phil Cunningham. (2016). Accurate quantification of mouse mitochondrial DNA without co-amplification of nuclear mitochondrial insertion sequences. Mitochondrion. 29. 59–64. 82 indexed citations
6.
Czajka, Anna & Afshan N. Malik. (2016). Hyperglycemia induced damage to mitochondrial respiration in renal mesangial and tubular cells: Implications for diabetic nephropathy. Redox Biology. 10. 100–107. 94 indexed citations
7.
Liu, Bo, Anna Czajka, Afshan N. Malik, et al.. (2015). Equilibrative nucleoside transporter 3 depletion in β-cells impairs mitochondrial function and promotes apoptosis: Relationship to pigmented hypertrichotic dermatosis with insulin-dependent diabetes. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(10). 2086–2095. 13 indexed citations
8.
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
9.
Malik, Afshan N. & Anna Czajka. (2012). Is mitochondrial DNA content a potential biomarker of mitochondrial dysfunction?. Mitochondrion. 13(5). 481–492. 386 indexed citations
10.
Czajka, Anna, et al.. (2012). Nop-7-associated 2 (NSA2), a candidate gene for diabetic nephropathy, is involved in the TGFβ1 pathway. The International Journal of Biochemistry & Cell Biology. 45(3). 626–635. 6 indexed citations
11.
12.
Al‐Kafaji, Ghada & Afshan N. Malik. (2009). Hyperglycemia induces elevated expression of thyroid hormone binding protein in vivo in kidney and heart and in vitro in mesangial cells. Biochemical and Biophysical Research Communications. 391(4). 1585–1591. 13 indexed citations
13.
Malik, Afshan N. & Ghada Al‐Kafaji. (2006). Glucose regulation of β-defensin-1 mRNA in human renal cells. Biochemical and Biophysical Research Communications. 353(2). 318–323. 33 indexed citations
14.
Malik, Afshan N.. (2003). Direct Sequencing of Inserts Cloned into Lambda Vectors. Humana Press eBooks. 23. 141–148.
15.
Page, Rachel, et al.. (1997). Isolation of Diabetes-Associated Kidney Genes Using Differential Display. Biochemical and Biophysical Research Communications. 232(1). 49–53. 31 indexed citations
16.
Demaine, Andrew G., et al.. (1996). Cloning, structure and mRNA expression of human Cctg, which encodes the chaperonin subunit CCTγ. Biochemical Journal. 313(2). 381–389. 21 indexed citations
17.
Malik, Afshan N., et al.. (1992). A discordance between the human muscle NCAM sequence and those seen in other NCAM cDNA clones. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1130(1). 95–96. 1 indexed citations
18.
Vivian, Alan, et al.. (1991). Molecular genetics of Pseudomonas syringae pathovar pisi: plasmid involvement in cultivar-specific incompatibility. Journal of General Microbiology. 137(9). 2231–2239. 10 indexed citations
19.
Pagé, Martin, et al.. (1990). Molecular cloning of a human thyrotropin receptor cDNA fragment. FEBS Letters. 264(2). 193–197. 15 indexed citations
20.
Moniz, C., Paul Burton, Afshan N. Malik, et al.. (1990). Parathyroid hormone-related peptide in normal human fetal development. Journal of Molecular Endocrinology. 5(3). 259–266. 67 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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