Uma Dhawan

642 total citations
10 papers, 129 citations indexed

About

Uma Dhawan is a scholar working on Molecular Biology, Infectious Diseases and Neurology. According to data from OpenAlex, Uma Dhawan has authored 10 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Neurology. Recurrent topics in Uma Dhawan's work include Bacillus and Francisella bacterial research (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). Uma Dhawan is often cited by papers focused on Bacillus and Francisella bacterial research (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). Uma Dhawan collaborates with scholars based in India, United States and Sweden. Uma Dhawan's co-authors include Meena Kishore Sakharkar, Saravana Babu Chidambaram, Navrinder Kaur, Ramesh Chandra, Heerak Chugh, Gagan Dhawan, Pradeep Kumar, Indu Singh, Benjamin Wolozin and Peter E.A. Ash and has published in prestigious journals such as Scientific Reports, FEMS Microbiology Reviews and Toxicological Sciences.

In The Last Decade

Uma Dhawan

9 papers receiving 126 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Uma Dhawan India	5	42	30	21	20	19	10	129
Yanbo Li China	2	53 1.3×	20 0.7×	15 0.7×	12 0.6×	26 1.4×	5	147
Jenny Sandström Switzerland	9	103 2.5×	10 0.3×	24 1.1×	9 0.5×	22 1.2×	16	266
Bai‐Xiang Li China	12	96 2.3×	38 1.3×	22 1.0×	22 1.1×	12 0.6×	25	332
Yilei Zheng China	10	125 3.0×	57 1.9×	6 0.3×	10 0.5×	10 0.5×	30	247
Jiayin Zhao China	8	76 1.8×	11 0.4×	20 1.0×	45 2.3×	7 0.4×	18	229
Eun Hye Jeong South Korea	8	55 1.3×	31 1.0×	14 0.7×	4 0.2×	4 0.2×	23	177
Fabiola Urbina Chile	6	130 3.1×	9 0.3×	9 0.4×	12 0.6×	72 3.8×	10	291
María Cuerda‐Ballester Spain	8	55 1.3×	38 1.3×	18 0.9×	10 0.5×	69 3.6×	17	224
Prakash Pragya India	7	105 2.5×	42 1.4×	7 0.3×	6 0.3×	18 0.9×	10	271
Hassan Ahmed Egypt	9	142 3.4×	13 0.4×	16 0.8×	45 2.3×	23 1.2×	38	354

Countries citing papers authored by Uma Dhawan

Since Specialization

Citations

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

Fields of papers citing papers by Uma Dhawan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uma Dhawan

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

All Works

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10 of 10 papers shown

1.

Dhawan, Uma, et al.. (2025). Insights from meta-analysis and experimental validation identify exosomal miR-146a-5p as a potential biomarker for sporadic amyotrophic lateral sclerosis. Scientific Reports. 15(1). 33846–33846.

2.

Srivastava, Shruti, et al.. (2025). Anthrax: Transmission, Pathogenesis, Prevention and Treatment. Toxins. 17(2). 56–56. 2 indexed citations

3.

Kumar, Nishant, Neha Dhasmana, Uma Dhawan, et al.. (2023). Giving a signal: how protein phosphorylation helps Bacillus navigate through different life stages. FEMS Microbiology Reviews. 47(4). 6 indexed citations

4.

Vats, Kavita, et al.. (2023). Clinical and Genetic Analysis of A Father-Son Duo with Monomelic Amyotrophy: Case Report. Annals of Indian Academy of Neurology. 26(6). 983–988. 1 indexed citations

5.

Singh, Ashish Kumar, et al.. (2022). Exploring the role of framework mutations in enabling breadth of a cross-reactive antibody (CR3022) against the SARS-CoV-2 RBD and its variants of concern. Journal of Biomolecular Structure and Dynamics. 41(6). 2341–2354. 6 indexed citations

6.

Khanna, Madhu, et al.. (2022). Pharmacological Manipulation of UPR: Potential Antiviral Strategy Against Chikungunya Virus. Indian Journal of Microbiology. 62(4). 634–640. 1 indexed citations

7.

Jha, Diksha, et al.. (2022). Therapeutic Applications of Self-assembled Indole-3-butanoyl-polyethylenimine Nanostructures. Indian Journal of Microbiology. 62(3). 411–418. 3 indexed citations

8.

Dhawan, Gagan, Indu Singh, Uma Dhawan, & Pradeep Kumar. (2021). Synthesis and Characterization of Nanoselenium: A Step-by-Step Guide for Undergraduate Students. Journal of Chemical Education. 98(9). 2982–2989. 20 indexed citations

9.

Kaur, Navrinder, Heerak Chugh, Meena Kishore Sakharkar, et al.. (2020). Neuroinflammation Mechanisms and Phytotherapeutic Intervention: A Systematic Review. ACS Chemical Neuroscience. 11(22). 3707–3731. 42 indexed citations

10.

Ash, Peter E.A., Uma Dhawan, Samantha Boudeau, et al.. (2018). Heavy Metal Neurotoxicants Induce ALS-Linked TDP-43 Pathology. Toxicological Sciences. 167(1). 105–115. 48 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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