Abhimanyu Banerjee

1.4k total citations
5 papers, 143 citations indexed

About

Abhimanyu Banerjee is a scholar working on Molecular Biology, Cancer Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Abhimanyu Banerjee has authored 5 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Abhimanyu Banerjee's work include Cancer-related molecular mechanisms research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). Abhimanyu Banerjee is often cited by papers focused on Cancer-related molecular mechanisms research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). Abhimanyu Banerjee collaborates with scholars based in United States, France and India. Abhimanyu Banerjee's co-authors include Anshul Kundaje, Michael C. Bassik, Lacramioara Bintu, Mike V. Van, Georgi K. Marinov, Peter Suzuki, Adi Mukund, Josh Tycko, Aradhana and Kaitlyn Spees and has published in prestigious journals such as Cell, BMC Genomics and Journal of Physics A Mathematical and Theoretical.

In The Last Decade

Abhimanyu Banerjee

5 papers receiving 143 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abhimanyu Banerjee United States	5	129	13	13	12	9	5	143
Gesa Richter Austria	6	116 0.9×	7 0.5×	6 0.5×	6 0.5×	3 0.3×	8	139
Paul Boddie Norway	4	72 0.6×	14 1.1×	10 0.8×	12 1.0×	2 0.2×	5	91
Pedro Salguero Spain	6	148 1.1×	15 1.2×	15 1.2×	37 3.1×	2 0.2×	6	202
Vladislava Hronová Czechia	5	297 2.3×	17 1.3×	18 1.4×	8 0.7×	18 2.0×	5	318
Josh Gorham United States	5	112 0.9×	15 1.2×	21 1.6×	7 0.6×	12 1.3×	7	132
Wolfgang Kopp Germany	6	131 1.0×	17 1.3×	7 0.5×	11 0.9×	2 0.2×	8	165
Bryan R. Gorman United States	6	94 0.7×	25 1.9×	4 0.3×	7 0.6×	3 0.3×	12	169
Jonas Reeb Germany	6	116 0.9×	52 4.0×	8 0.6×	9 0.8×	4 0.4×	7	150
Meghali Aich India	4	136 1.1×	14 1.1×	11 0.8×	46 3.8×	4 0.4×	5	147
Elizaveta Sokolova Russia	9	198 1.5×	9 0.7×	6 0.5×	5 0.4×	15 1.7×	11	222

Countries citing papers authored by Abhimanyu Banerjee

Since Specialization

Citations

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

Fields of papers citing papers by Abhimanyu Banerjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhimanyu Banerjee

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

All Works

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5 of 5 papers shown

1.

Ameen, Mohamed, Laksshman Sundaram, Mengcheng Shen, et al.. (2022). Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease. Cell. 185(26). 4937–4953.e23. 46 indexed citations

2.

Kaplow, Irene M., Abhimanyu Banerjee, & Chuan-Sheng Foo. (2022). Neural network modeling of differential binding between wild-type and mutant CTCF reveals putative binding preferences for zinc fingers 1–2. BMC Genomics. 23(1). 295–295. 5 indexed citations

3.

Tycko, Josh, Nicole DelRosso, Gaelen T. Hess, et al.. (2020). High-Throughput Discovery and Characterization of Human Transcriptional Effectors. Cell. 183(7). 2020–2035.e16. 79 indexed citations

4.

Shrikumar, Avanti, Katherine Tian, Anna Shcherbina, et al.. (2018). TF-MoDISco v0.4.2.2-alpha: Technical Note. arXiv (Cornell University). 8 indexed citations

5.

Mounaix, Philippe, Satya N. Majumdar, & Abhimanyu Banerjee. (2012). Bose–Einstein condensation of a Gaussian random field in the thermodynamic limit. Journal of Physics A Mathematical and Theoretical. 45(11). 115002–115002. 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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