Aditi Gulati

1.9k total citations
11 papers, 464 citations indexed

About

Aditi Gulati is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Aditi Gulati has authored 11 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Aditi Gulati's work include Genomics and Chromatin Dynamics (3 papers), DNA Repair Mechanisms (2 papers) and CRISPR and Genetic Engineering (2 papers). Aditi Gulati is often cited by papers focused on Genomics and Chromatin Dynamics (3 papers), DNA Repair Mechanisms (2 papers) and CRISPR and Genetic Engineering (2 papers). Aditi Gulati collaborates with scholars based in United Kingdom, Ireland and United States. Aditi Gulati's co-authors include Christopher J. Lord, James Campbell, Rachel Brough, Alan Ashworth, Helen N. Pemberton, Chris T. Williamson, Asha Konde, Rumana Rafiq, Nicholas Badham and Samuel E. Jones and has published in prestigious journals such as Nature Communications, Nature Genetics and Journal of Clinical Oncology.

In The Last Decade

Aditi Gulati

10 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aditi Gulati United Kingdom	7	358	247	120	67	47	11	464
Samuel E. Jones United Kingdom	8	450 1.3×	208 0.8×	113 0.9×	68 1.0×	38 0.8×	8	529
Asha Konde United Kingdom	5	545 1.5×	463 1.9×	130 1.1×	97 1.4×	122 2.6×	8	716
Emily Kantoff United States	4	286 0.8×	321 1.3×	32 0.3×	127 1.9×	27 0.6×	6	478
Emily Rayner Netherlands	6	197 0.6×	144 0.6×	166 1.4×	176 2.6×	46 1.0×	8	441
Peter L. Depowski United States	9	319 0.9×	301 1.2×	86 0.7×	94 1.4×	88 1.9×	15	538
James Lagowski United States	8	201 0.6×	130 0.5×	33 0.3×	63 0.9×	52 1.1×	12	338
Wenhsiang Wen United States	5	213 0.6×	227 0.9×	44 0.4×	62 0.9×	115 2.4×	8	381
Shamima Yeasmin Japan	10	289 0.8×	115 0.5×	39 0.3×	123 1.8×	42 0.9×	19	442
Jung‐Sik Kim South Korea	6	394 1.1×	360 1.5×	34 0.3×	53 0.8×	58 1.2×	6	566
Suchitra Natarajan United States	8	226 0.6×	130 0.5×	23 0.2×	126 1.9×	42 0.9×	13	379

Countries citing papers authored by Aditi Gulati

Since Specialization

Citations

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

Fields of papers citing papers by Aditi Gulati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditi Gulati

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

All Works

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11 of 11 papers shown

Haider, Syed, Rachel Brough, Jacopo Iacovacci, et al.. (2025). The transcriptomic architecture of common cancers reflects synthetic lethal interactions. Nature Genetics. 57(3). 522–529. 2 indexed citations

Cutts, Ros, Sarah Hrebien, Aditi Gulati, et al.. (2024). Discriminating subtypes in advanced breast cancer with ctDNA methylation profiling.. Journal of Clinical Oncology. 42(16_suppl). 1013–1013.

Brough, Rachel, Dragomir B. Krastev, Feifei Song, et al.. (2023). Cancer‐associated FBXW7 loss is synthetic lethal with pharmacological targeting of CDC7. Molecular Oncology. 18(2). 369–385. 1 indexed citations

Brough, Rachel, Aditi Gulati, Syed Haider, et al.. (2018). Identification of highly penetrant Rb-related synthetic lethal interactions in triple negative breast cancer. Oncogene. 37(43). 5701–5718. 22 indexed citations

Chong, Irene, Lauren I. Aronson, Aditi Gulati, et al.. (2017). Mapping genetic vulnerabilities reveals BTK as a novel therapeutic target in oesophageal cancer. Gut. 67(10). 1780–1792. 16 indexed citations

Dréan, Amy, Chris T. Williamson, Rachel Brough, et al.. (2017). Modeling Therapy Resistance in BRCA1/2 -Mutant Cancers. Molecular Cancer Therapeutics. 16(9). 2022–2034. 58 indexed citations

Jones, Samuel E., Emmy D.G. Fleuren, Jessica Frankum, et al.. (2017). ATR Is a Therapeutic Target in Synovial Sarcoma. Cancer Research. 77(24). 7014–7026. 47 indexed citations

Pettitt, Stephen J., Dragomir B. Krastev, Helen N. Pemberton, et al.. (2017). Genome-wide barcoded transposon screen for cancer drug sensitivity in haploid mouse embryonic stem cells. Scientific Data. 4(1). 170020–170020. 13 indexed citations

Maguire, Sarah, Barrie Peck, Patty T. Wai, et al.. (2016). Three‐dimensional modelling identifies novel genetic dependencies associated with breast cancer progression in the isogenic MCF10 model. The Journal of Pathology. 240(3). 315–328. 31 indexed citations

10.

Williamson, Chris T., Rowan Miller, Helen N. Pemberton, et al.. (2016). ATR inhibitors as a synthetic lethal therapy for tumours deficient in ARID1A. Nature Communications. 7(1). 13837–13837. 270 indexed citations

11.

Rabi, Thangaiyan, et al.. (1994). Influence Of Amoora Rohituka On MCF-7 Human Mammary Adenocarcinoma Cells In Vitro. Indian Journal of Pharmaceutical Sciences. 56(4). 136. 4 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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