Aditi Singh

2.0k total citations · 1 hit paper
86 papers, 1.3k citations indexed

About

Aditi Singh is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Aditi Singh has authored 86 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 15 papers in Infectious Diseases and 14 papers in Oncology. Recurrent topics in Aditi Singh's work include Computational Drug Discovery Methods (12 papers), Tuberculosis Research and Epidemiology (10 papers) and Cancer therapeutics and mechanisms (9 papers). Aditi Singh is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Tuberculosis Research and Epidemiology (10 papers) and Cancer therapeutics and mechanisms (9 papers). Aditi Singh collaborates with scholars based in India, United States and United Kingdom. Aditi Singh's co-authors include Abhinav Grover, Salma Jamal, Sukriti Goyal, Sonam Grover, Sharad Verma, Pallavi Somvanshi, Chetna Tyagi, Anchala Kumari, Dorothea Droll and Igor Minia and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Aditi Singh

74 papers receiving 1.3k citations

Hit Papers

Type 2 Diabetes Mellitus:... 2025 2026 2025 5 10 15 20 25
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Type 2 Diabetes Mellitus: A Comprehensive Review of Pathophysiology, Comorbidities, and Emerging Therapies
    2025 28 citations Aditi Singh, Soumendra Rana et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aditi Singh India 20 787 296 273 146 96 86 1.3k
Liangliang Kong China 20 869 1.1× 143 0.5× 339 1.2× 68 0.5× 51 0.5× 49 1.4k
Carlos H. M. Rodrigues Australia 18 1.5k 1.9× 134 0.5× 404 1.5× 289 2.0× 89 0.9× 39 2.1k
Jessica K. Holien Australia 23 1.2k 1.5× 513 1.7× 337 1.2× 237 1.6× 70 0.7× 64 2.2k
Sheikh Arslan Sehgal Pakistan 19 710 0.9× 347 1.2× 183 0.7× 175 1.2× 76 0.8× 53 1.3k
Özlem Demir United States 22 1.1k 1.4× 213 0.7× 195 0.7× 250 1.7× 72 0.8× 74 1.8k
Mustafa Ulaşlı Türkiye 16 613 0.8× 299 1.0× 628 2.3× 57 0.4× 145 1.5× 35 1.6k
Shihua He Canada 28 999 1.3× 317 1.1× 703 2.6× 71 0.5× 96 1.0× 70 2.0k
Xuefei Gao China 20 1.1k 1.4× 157 0.5× 432 1.6× 80 0.5× 36 0.4× 52 1.9k
John G. Menting Australia 23 1.3k 1.6× 165 0.6× 127 0.5× 107 0.7× 114 1.2× 30 1.9k

Countries citing papers authored by Aditi Singh

Since Specialization
Citations

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

Fields of papers citing papers by Aditi Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditi Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Aditi Singh. A scholar is included among the top collaborators of Aditi Singh 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 Aditi Singh. Aditi Singh 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.
Khan, Heena, et al.. (2025). Pharmacological modulation of PI3K/PTEN/Akt/mTOR/ERK signaling pathways in ischemic injury: a mechanistic perspective. Metabolic Brain Disease. 40(3). 131–131. 5 indexed citations
2.
Singh, Aditi, et al.. (2025). Deciphering the Mechanism of Action of a Short, Synthetic Designer AMP Against Gram‐Negative Bacteria. Biopolymers. 116(3). e70019–e70019.
3.
Singh, Aditi, et al.. (2025). Interaction of Phosphorylated C5aR1 With β‐Arrestin1: A Comparative Structural Modeling Study. Proteins Structure Function and Bioinformatics. 93(11). 2015–2033. 1 indexed citations
4.
Morand, Susan, Rachel Royfman, Aditi Singh, et al.. (2024). Targeted Combination of Poly(ADP-ribose) Polymerase Inhibitors and Immune Checkpoint Inhibitors Lacking Evidence of Benefit: Focus in Ovarian Cancer. International Journal of Molecular Sciences. 25(6). 3173–3173. 3 indexed citations
5.
Singh, Aditi, et al.. (2024). Conformational variants of the ternary complex of C5a, C5aR1, and G-protein. Journal of Biomolecular Structure and Dynamics. 43(10). 4885–4900. 3 indexed citations
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Barsouk, Adam, Margaret Stalker, Jonathan Sussman, et al.. (2024). Brief Report: Osimertinib Plus Capmatinib for Patients With MET-Altered EGFR-Mutant NSCLC Following Progression on Front Line Therapy. Clinical Lung Cancer. 26(2). 158–163.e2. 2 indexed citations
9.
Singh, Aditi, Camino de Juan Romero, Ziyi Zhang, et al.. (2024). Gene regulatory landscape of cerebral cortex folding. Science Advances. 10(23). eadn1640–eadn1640. 4 indexed citations
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Singh, Aditi, et al.. (2023). N-Acetyltransferase 9 ameliorates Aβ42-mediated neurodegeneration in the Drosophila eye. Cell Death and Disease. 14(7). 5 indexed citations
12.
Little, Karis, Aditi Singh, Àngel del Marco, et al.. (2023). Disruption of cortical cell type composition and function underlies diabetes-associated cognitive decline. Diabetologia. 66(8). 1557–1575. 11 indexed citations
13.
Faro, Jamie M, et al.. (2022). Wearable device use and technology preferences in cancer survivors with or at risk for atrial fibrillation. SHILAP Revista de lepidopterología. 3(6). S23–S27. 7 indexed citations
14.
Singh, Aditi, et al.. (2022). Tcf12 and NeuroD1 cooperatively drive neuronal migration during cortical development. Development. 149(3). 21 indexed citations
15.
Singh, Aditi, et al.. (2022). Design and Implementation of Different Machine Learning Algorithms for Credit Card Fraud Detection. 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). 1–6. 14 indexed citations
16.
Singh, Aditi, et al.. (2019). Structural basis for isoniazid resistance in KatG double mutants of Mycobacterium tuberculosis. Microbial Pathogenesis. 129. 152–160. 4 indexed citations
17.
Verma, Sharad, Sukriti Goyal, Anchala Kumari, et al.. (2018). Structural investigations on mechanism of lapatinib resistance caused by HER-2 mutants. PLoS ONE. 13(2). e0190942–e0190942. 7 indexed citations
18.
Pandey, Bharati, Sonam Grover, Chetna Tyagi, et al.. (2017). Double Mutants in DNA Gyrase Lead to Ofloxacin Resistance in Mycobacterium tuberculosis. Journal of Cellular Biochemistry. 118(9). 2950–2957. 6 indexed citations
19.
Trivedi, Mala, et al.. (2016). Towards the atomic level protein sequence analysis. Journal of chemical and pharmaceutical research. 8(5).
20.
Prasad, Rajendra, et al.. (2009). Non-secretory multiple myeloma presenting with diffuse sclerosis of affected bones interspersed with osteolytic lesions. British Journal of Radiology. 82(974). e29–e31. 7 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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