Sameer Salunkhe

446 total citations
9 papers, 165 citations indexed

About

Sameer Salunkhe is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Sameer Salunkhe has authored 9 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Sameer Salunkhe's work include DNA Repair Mechanisms (4 papers), Glioma Diagnosis and Treatment (3 papers) and Acute Myeloid Leukemia Research (2 papers). Sameer Salunkhe is often cited by papers focused on DNA Repair Mechanisms (4 papers), Glioma Diagnosis and Treatment (3 papers) and Acute Myeloid Leukemia Research (2 papers). Sameer Salunkhe collaborates with scholars based in India, United States and China. Sameer Salunkhe's co-authors include Shilpee Dutt, Amit Dutt, Ekjot Kaur, Atanu Ghorai, Pratik Chandrani, Nilesh Gardi, Sanket Desai, Aliasgar Moiyadi, Rahul Thorat and Sanket Shah and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Cell Science.

In The Last Decade

Sameer Salunkhe

9 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sameer Salunkhe India	8	124	46	45	24	19	9	165
Geraldine Cayanan United States	3	166 1.3×	29 0.6×	24 0.5×	9 0.4×	28 1.5×	3	201
Emilia Kuuluvainen Finland	6	151 1.2×	27 0.6×	46 1.0×	9 0.4×	6 0.3×	11	219
Jacob V. Layer United States	7	100 0.8×	16 0.3×	40 0.9×	50 2.1×	16 0.8×	11	176
Asuka Hira Japan	6	238 1.9×	75 1.6×	32 0.7×	16 0.7×	15 0.8×	9	293
Peter J. Mullen Canada	3	228 1.8×	88 1.9×	37 0.8×	12 0.5×	6 0.3×	4	290
Viola Paulus-Hock United Kingdom	4	102 0.8×	20 0.4×	36 0.8×	14 0.6×	10 0.5×	6	138
Christine A. Mills United States	8	214 1.7×	26 0.6×	74 1.6×	14 0.6×	14 0.7×	22	249
Katarzyna Starowicz United Kingdom	7	260 2.1×	22 0.5×	97 2.2×	13 0.5×	12 0.6×	8	296
Noemi A. Zambetti Netherlands	4	82 0.7×	24 0.5×	24 0.5×	10 0.4×	7 0.4×	4	139
Pavana Anur United States	6	123 1.0×	56 1.2×	38 0.8×	10 0.4×	5 0.3×	11	194

Countries citing papers authored by Sameer Salunkhe

Since Specialization

Citations

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

Fields of papers citing papers by Sameer Salunkhe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sameer Salunkhe

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

All Works

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9 of 9 papers shown

Xue, Chaoyou, Sameer Salunkhe, Nozomi Tomimatsu, et al.. (2022). Bloom helicase mediates formation of large single–stranded DNA loops during DNA end processing. Nature Communications. 13(1). 2248–2248. 15 indexed citations

Salunkhe, Sameer, Sanket Shah, Nilesh Gardi, et al.. (2021). Nuclear localization of p65 reverses therapy-induced senescence. Journal of Cell Science. 134(6). 14 indexed citations

Salunkhe, Sameer, et al.. (2020). Metabolic rewiring in drug resistant cells exhibit higher OXPHOS and fatty acids as preferred major source to cellular energetics. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1861(12). 148300–148300. 30 indexed citations

Kaur, Ekjot, Atanu Ghorai, Sameer Salunkhe, et al.. (2020). Inhibition of SETMAR–H3K36me2–NHEJ repair axis in residual disease cells prevents glioblastoma recurrence. Neuro-Oncology. 22(12). 1785–1796. 29 indexed citations

Kaur, Ekjot, Jayant Sastri Goda, Atanu Ghorai, et al.. (2018). Molecular features unique to glioblastoma radiation resistant residual cells may affect patient outcome - a short report. Cellular Oncology. 42(1). 107–116. 15 indexed citations

Patel, Kuldeep, Sharan Janjuha, Nilesh Gardi, et al.. (2018). Up-regulation of the kinase gene SGK1 by progesterone activates the AP-1–NDRG1 axis in both PR-positive and -negative breast cancer cells. Journal of Biological Chemistry. 293(50). 19263–19276. 24 indexed citations

Datta, Keshava K., Rahul Thorat, Nilesh Gardi, et al.. (2018). Enhanced proteasomal activity is essential for long term survival and recurrence of innately radiation resistant residual glioblastoma cells. Oncotarget. 9(45). 27667–27681. 13 indexed citations

Salunkhe, Sameer, Ekjot Kaur, Sanket Shah, et al.. (2018). Inhibition of novel GCN5–ATM axis restricts the onset of acquired drug resistance in leukemia. International Journal of Cancer. 142(10). 2175–2185. 20 indexed citations

Salunkhe, Sameer, et al.. (2018). CytoPred: 7-gene pair metric for AML cytogenetic risk prediction. Briefings in Bioinformatics. 21(1). 348–354. 5 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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