Swati Dawar

1.5k total citations · 1 hit paper
7 papers, 1.2k citations indexed

About

Swati Dawar is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Swati Dawar has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Immunology and 2 papers in Cancer Research. Recurrent topics in Swati Dawar's work include Cell death mechanisms and regulation (3 papers), Epigenetics and DNA Methylation (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). Swati Dawar is often cited by papers focused on Cell death mechanisms and regulation (3 papers), Epigenetics and DNA Methylation (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). Swati Dawar collaborates with scholars based in Australia, United States and Sweden. Swati Dawar's co-authors include Sharad Kumar, Loretta Dorstyn, Sonia Shalini, Sarbani Hazra, Yoon Lim, Neha Singh, Shu‐Feng Zhou, Wei Duan, Richard L. Kennedy and Jagat R. Kanwar and has published in prestigious journals such as Oncogene, Scientific Reports and Cell Death and Differentiation.

In The Last Decade

Swati Dawar

7 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Old, new and emerging functions of caspases

2014 978 citations Sonia Shalini, Loretta Dorstyn et al. Cell Death and Differentiation profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Swati Dawar Australia	6	680	233	158	140	116	7	1.2k
Irteza Inayat United States	7	663 1.0×	185 0.8×	244 1.5×	118 0.8×	87 0.8×	14	1.1k
Ali J. Masud Finland	6	779 1.1×	170 0.7×	209 1.3×	118 0.8×	97 0.8×	7	1.2k
Jin‐Chul Kim South Korea	27	972 1.4×	430 1.8×	138 0.9×	141 1.0×	116 1.0×	90	2.0k
Aida Peña‐Blanco Germany	7	724 1.1×	199 0.9×	117 0.7×	102 0.7×	120 1.0×	7	1.1k
Shuang Sun China	21	549 0.8×	287 1.2×	107 0.7×	168 1.2×	128 1.1×	56	1.4k
Matthew Brentnall United States	5	679 1.0×	127 0.5×	90 0.6×	180 1.3×	139 1.2×	7	1.2k
Haiwei Zhang China	27	1.1k 1.6×	251 1.1×	142 0.9×	165 1.2×	242 2.1×	69	1.7k
Xiong Li China	19	562 0.8×	230 1.0×	64 0.4×	138 1.0×	93 0.8×	70	1.2k
Caiping Tian China	20	690 1.0×	161 0.7×	79 0.5×	137 1.0×	65 0.6×	29	1.3k
Lorenza Trabalzini Italy	26	809 1.2×	174 0.7×	139 0.9×	171 1.2×	125 1.1×	71	1.9k

Countries citing papers authored by Swati Dawar

Since Specialization

Citations

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

Fields of papers citing papers by Swati Dawar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Dawar

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Dawar, Swati, Yoon Lim, Toby A. Dite, et al.. (2024). Caspase-2 protects against ferroptotic cell death. Cell Death and Disease. 15(3). 182–182. 12 indexed citations

2.

Fujihara, Kenji M., et al.. (2021). Transketolase regulates sensitivity to APR-246 in p53-null cells independently of oxidative stress modulation. Scientific Reports. 11(1). 4480–4480. 5 indexed citations

3.

Ceder, Sophia, Sofi Eriksson, Swati Dawar, et al.. (2020). A thiol‐bound drug reservoir enhances APR‐246‐induced mutant p53 tumor cell death. EMBO Molecular Medicine. 13(2). e10852–e10852. 29 indexed citations

4.

Dawar, Swati, Nur Hezrin Shahrin, Richard J. D’Andrea, et al.. (2016). Impaired haematopoietic stem cell differentiation and enhanced skewing towards myeloid progenitors in aged caspase-2-deficient mice. Cell Death and Disease. 7(12). e2509–e2509. 22 indexed citations

5.

Dawar, Swati, Yoon Lim, Joseph Puccini, et al.. (2016). Caspase-2-mediated cell death is required for deleting aneuploid cells. Oncogene. 36(19). 2704–2714. 49 indexed citations

6.

Shalini, Sonia, Loretta Dorstyn, Swati Dawar, & Sharad Kumar. (2014). Old, new and emerging functions of caspases. Cell Death and Differentiation. 22(4). 526–539. 978 indexed citations breakdown →

7.

Dawar, Swati, Neha Singh, Jagat R. Kanwar, et al.. (2013). Multifunctional and multitargeted nanoparticles for drug delivery to overcome barriers of drug resistance in human cancers. Drug Discovery Today. 18(23-24). 1292–1300. 56 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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