Swati Dhar

1.1k citations
22 papers · 889 · h-index 15

Impact in

Papers in

    • Histone Deacetylase Inhibitors Research 9
    • Epigenetics and DNA Methylation 3
    • Peptidase Inhibition and Analysis 4

Swati Dhar

22 papers receiving 870 citations

Peers

Swati Dhar
Comparison fields: 5 of 78
  • Geriatrics and Gerontology 257
  • Cancer Research 268
  • Molecular Biology 527
  • Oncology 179
  • Biochemistry 37
Replace Madhavi Sekharam with:
Madhavi Sekharam United States
Toran Sanli Canada
Mercedes Nadal‐Serrano Spain
Jianlin Ren China
Mingchuan Zhao China
Yingze Wei China
Chunlian Wu China
Giorgia Colombo Italy
Yangwei Xu China
Guowang Yang China
Swati Dhar relative to Madhavi Sekharam United States Madhavi Sekharam's profile →
Citations per field
00.5×10×14.3×
Madhavi Sekharam · 1×
Citations per year

Countries citing papers authored by Swati Dhar

Since Specialization
Citations

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

Fields of papers citing papers by Swati Dhar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Swati Dhar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Swati Dhar Line = papers co-authored together Swati Dhar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015129
2 2014107
3 2011103
4 201376
5 201371
6 201653
7 201341
8
Lysis of aminobisphosphonate-sensitized MCF-7 breast tumor cells by Vγ9Vδ2 T cells.
201040
9 201739
10 200939
11 201538
12 201737
13 201826
14 202226
15 201819
16 202214
17 202210
18 200810
19
Targeting MTA1/HIF-1alpha Signaling by Pterostilbene in Combination with Histone Deacetylase Inhibitor Attenuates Prostate Cancer Progression (Open Access)
20177
20 20222

About Swati Dhar

Swati Dhar is a scholar working on Molecular Biology, Oncology, Geriatrics and Gerontology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 889 indexed citations. Recurring topics across this work include Histone Deacetylase Inhibitors Research (9 papers), Sirtuins and Resveratrol in Medicine (7 papers), Prostate Cancer Treatment and Research (4 papers), Peptidase Inhibition and Analysis (4 papers), MicroRNA in disease regulation (4 papers), Immune Cell Function and Interaction (3 papers), Epigenetics and DNA Methylation (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Geriatrics and Gerontology (257 citations), Cancer Research (268 citations), Molecular Biology (527 citations), Oncology (179 citations) and Biochemistry (37 citations). Swati Dhar has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Anait S. Levenson, Avinash Kumar, Agnes M. Rimando, Kun Li, Chindo Hicks, Xu Zhang, Shubhada Chiplunkar, Jack R. Lewin, Alan D. Penman and Guri Tzivion. Their work appears in journals such as Cancer Research, Oncotarget, The Prostate, PLoS ONE and Immune Network.

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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