Sitanshu Gakkhar

909 total citations
6 papers, 172 citations indexed

About

Sitanshu Gakkhar is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Sitanshu Gakkhar has authored 6 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Artificial Intelligence. Recurrent topics in Sitanshu Gakkhar's work include Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (3 papers) and Cancer Diagnosis and Treatment (1 paper). Sitanshu Gakkhar is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (3 papers) and Cancer Diagnosis and Treatment (1 paper). Sitanshu Gakkhar collaborates with scholars based in Canada and United States. Sitanshu Gakkhar's co-authors include Steven J.M. Jones, Richard A. Moore, Marco A. Marra, Andrew J. Mungall, Annaïck Carles, Martin Hirst, Alireza Heravi‐Moussavi, Misha Bilenky, Connie J. Eaves and Michelle Moksa and has published in prestigious journals such as Bioinformatics, Cell Reports and Journal of Endocrinology.

In The Last Decade

Sitanshu Gakkhar

5 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sitanshu Gakkhar Canada	5	110	49	49	23	16	6	172
Bahman Afsari United States	9	171 1.6×	34 0.7×	80 1.6×	14 0.6×	8 0.5×	13	233
Michele L. Lenoue-Newton United States	7	119 1.1×	52 1.1×	62 1.3×	10 0.4×	17 1.1×	18	200
Н. Н. Волченко Russia	8	120 1.1×	56 1.1×	95 1.9×	5 0.2×	12 0.8×	44	222
Mario Lamping Germany	7	58 0.5×	34 0.7×	60 1.2×	36 1.6×	12 0.8×	16	136
Zhilin Jin United States	3	128 1.2×	29 0.6×	62 1.3×	11 0.5×	9 0.6×	4	167
JungHo Kong South Korea	7	99 0.9×	99 2.0×	43 0.9×	12 0.5×	31 1.9×	13	229
Angelika Kaufmann United Kingdom	8	92 0.8×	93 1.9×	30 0.6×	10 0.4×	19 1.2×	14	207
Stéphane Wenric United States	7	151 1.4×	37 0.8×	109 2.2×	9 0.4×	14 0.9×	14	230
Natalia Briones United States	7	124 1.1×	28 0.6×	54 1.1×	8 0.3×	33 2.1×	12	198
Giulia Cursano Italy	9	65 0.6×	102 2.1×	87 1.8×	23 1.0×	43 2.7×	14	192

Countries citing papers authored by Sitanshu Gakkhar

Since Specialization

Citations

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

Fields of papers citing papers by Sitanshu Gakkhar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sitanshu Gakkhar

This figure shows the co-authorship network connecting the top 25 collaborators of Sitanshu Gakkhar. A scholar is included among the top collaborators of Sitanshu Gakkhar 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 Sitanshu Gakkhar. Sitanshu Gakkhar 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:

6 of 6 papers shown

1.

Gakkhar, Sitanshu & Matilde Marcolli. (2024). Syntactic Structures and the General Markov Models. Mathematics in Computer Science. 18(1). 1 indexed citations

2.

Grewal, Jasleen, Basile Tessier‐Cloutier, Martin Jones, et al.. (2019). Application of a Neural Network Whole Transcriptome–Based Pan-Cancer Method for Diagnosis of Primary and Metastatic Cancers. JAMA Network Open. 2(4). e192597–e192597. 55 indexed citations

3.

Lever, Jake, Sitanshu Gakkhar, Michael C. Gottlieb, et al.. (2017). A collaborative filtering-based approach to biomedical knowledge discovery. Bioinformatics. 34(4). 652–659. 21 indexed citations

4.

Siu, Celia, Sam M. Wiseman, Sitanshu Gakkhar, et al.. (2017). Characterization of the human thyroid epigenome. Journal of Endocrinology. 235(2). 153–165. 6 indexed citations

5.

Pellacani, Davide, Misha Bilenky, Nagarajan Kannan, et al.. (2016). Analysis of Normal Human Mammary Epigenomes Reveals Cell-Specific Active Enhancer States and Associated Transcription Factor Networks. Cell Reports. 17(8). 2060–2074. 59 indexed citations

6.

Lorzadeh, Alireza, Misha Bilenky, Colin A. Hammond, et al.. (2016). Nucleosome Density ChIP-Seq Identifies Distinct Chromatin Modification Signatures Associated with MNase Accessibility. Cell Reports. 17(8). 2112–2124. 30 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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