Ashim Mukherjee

1.9k total citations
50 papers, 970 citations indexed

About

Ashim Mukherjee is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ashim Mukherjee has authored 50 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 9 papers in Cell Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ashim Mukherjee's work include Developmental Biology and Gene Regulation (27 papers), Ubiquitin and proteasome pathways (8 papers) and Retinal Development and Disorders (7 papers). Ashim Mukherjee is often cited by papers focused on Developmental Biology and Gene Regulation (27 papers), Ubiquitin and proteasome pathways (8 papers) and Retinal Development and Disorders (7 papers). Ashim Mukherjee collaborates with scholars based in India, United States and Spain. Ashim Mukherjee's co-authors include Mousumi Mutsuddi, Spyros Artavanis‐Tsakonas, Alexey Veraksa, Jacques Camonis, Carine Rossé, Andreas Bauer, Vartika Sharma, Kenneth H. Moberg, Iswar K. Hariharan and Debdeep Dutta and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Nature Cell Biology.

In The Last Decade

Ashim Mukherjee

48 papers receiving 958 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashim Mukherjee India 15 755 182 152 141 118 50 970
Cecilia Zuliani Germany 11 506 0.7× 191 1.0× 133 0.9× 44 0.3× 81 0.7× 11 797
Kazuya Hori Japan 14 954 1.3× 121 0.7× 291 1.9× 96 0.7× 72 0.6× 19 1.2k
Sandrine Fraboulet France 16 881 1.2× 149 0.8× 307 2.0× 69 0.5× 74 0.6× 25 1.2k
Bennett H. Penn United States 9 1.5k 1.9× 155 0.9× 104 0.7× 67 0.5× 262 2.2× 12 1.6k
Jean‐Pierre Desvignes France 17 603 0.8× 99 0.5× 96 0.6× 118 0.8× 324 2.7× 31 1.0k
Maria F. Pazyra‐Murphy United States 18 591 0.8× 221 1.2× 186 1.2× 75 0.5× 90 0.8× 26 881
K. Elizabeth Allen United Kingdom 13 539 0.7× 136 0.7× 307 2.0× 52 0.4× 96 0.8× 28 913
Luis García‐Alonso Spain 17 489 0.6× 348 1.9× 194 1.3× 92 0.7× 96 0.8× 22 885
Jesús Cruces Spain 14 1.1k 1.4× 206 1.1× 191 1.3× 80 0.6× 188 1.6× 32 1.4k
Rajendran Sanalkumar United States 18 731 1.0× 108 0.6× 82 0.5× 101 0.7× 92 0.8× 25 974

Countries citing papers authored by Ashim Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Ashim Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashim Mukherjee

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

All Works

20 of 20 papers shown
1.
Malik, Ankit Kumar, Chandrashekhar Singh, Abhishesh Kumar Mehata, et al.. (2024). Nanofibers of N,N,N-trimethyl chitosan capped bimetallic nanoparticles: Preparation, characterization, wound dressing and in vivo treatment of MDR microbial infection and tracking by optical and photoacoustic imaging. International Journal of Biological Macromolecules. 263(Pt 1). 130154–130154. 4 indexed citations
2.
Sharma, Vartika, et al.. (2023). Notch signalling: multifaceted role in development and disease. FEBS Journal. 291(14). 3030–3059. 41 indexed citations
3.
4.
Mukherjee, Ashim, et al.. (2021). Maheshvara regulates JAK/STAT signaling by interacting and stabilizing hopscotch transcripts which leads to apoptosis in Drosophila melanogaster. Cell Death and Disease. 12(4). 363–363. 2 indexed citations
5.
Mishra, Rakesh K., Lolitika Mandal, Debasmita Pankaj Alone, et al.. (2020). A Forward Genetic Approach to Mapping a P -Element Second Site Mutation Identifies DCP2 as a Novel Tumor Suppressor in Drosophila melanogaster. G3 Genes Genomes Genetics. 10(8). 2601–2618. 1 indexed citations
6.
Mukherjee, Ashim, et al.. (2020). Maheshvara, a Conserved RNA Helicase, Regulates Notch Signaling in Drosophila melanogaster. Advances in experimental medicine and biology. 1227. 69–79. 2 indexed citations
7.
Dutta, Debdeep, et al.. (2018). Deltex interacts with Eiger and consequently influences the cell death in Drosophila melanogaster. Cellular Signalling. 49. 17–29. 13 indexed citations
8.
Dutta, Debdeep, et al.. (2018). Notch signals modulate lgl mediated tumorigenesis by the activation of JNK signaling. BMC Research Notes. 11(1). 247–247. 8 indexed citations
9.
Tripathi, Bipin Kumar, et al.. (2016). The RNA binding KH domain of Spoonbill depletes pathogenic non-coding spinocerebellar ataxia 8 transcripts and suppresses neurodegeneration in Drosophila. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(9). 1732–1741. 6 indexed citations
10.
Mishra, Abhinava K., et al.. (2015). Kinase active Misshapen regulates Notch signaling in Drosophila melanogaster. Experimental Cell Research. 339(1). 51–60. 7 indexed citations
11.
Tripathi, Bipin Kumar, et al.. (2015). Regulation of Notch Signaling by an Evolutionary Conserved DEAD Box RNA Helicase, Maheshvara in Drosophila melanogaster. Genetics. 201(3). 1071–1085. 13 indexed citations
12.
Mishra, Abhinava K., et al.. (2015). Chip physically interacts with Notch and their stoichiometry is critical for Notch function in wing development and cell proliferation in Drosophila. Biochimica et Biophysica Acta (BBA) - General Subjects. 1850(4). 802–812. 5 indexed citations
13.
Tripathi, Bipin Kumar, et al.. (2014). dLin52 is crucial for dE2F and dRBF mediated transcriptional regulation of pro-apoptotic gene hid. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1839(9). 800–812. 1 indexed citations
14.
Mishra, Abhinava K., et al.. (2014). TRAF6 is a novel regulator of Notch signaling in Drosophila melanogaster. Cellular Signalling. 26(12). 3016–3026. 21 indexed citations
15.
Chandra, Abhishek, et al.. (2014). MTHFR C677T Predisposes to POAG but Not to PACG in a North Indian Population: A Case Control Study. PLoS ONE. 9(7). e103063–e103063. 15 indexed citations
16.
17.
Mukherjee, Ashim, et al.. (2011). Dynamic pattern of expression of dlin52, a member of the Myb/MuvB complex, during Drosophila development. Gene Expression Patterns. 12(1-2). 77–84. 3 indexed citations
18.
Mutsuddi, Mousumi, Ashim Mukherjee, Baohe Shen, James L. Manley, & John R. Nambu. (2010). Drosophila Pelle phosphorylates Dichaete protein andinfluences its subcellular distribution in developing oocytes. The International Journal of Developmental Biology. 54(8-9). 1309–1315. 2 indexed citations
19.
Moberg, Kenneth H., Ashim Mukherjee, Alexey Veraksa, Spyros Artavanis‐Tsakonas, & Iswar K. Hariharan. (2004). The Drosophila F Box Protein Archipelago Regulates dMyc Protein Levels In Vivo. Current Biology. 14(11). 965–974. 110 indexed citations
20.
Mukherjee, Ashim, S. C. Lakhotia, & Jagat Kumar Roy. (1995). 1 (2)gl gene regulates late expression of segment polarity genes in Drosophila. Mechanisms of Development. 51(2-3). 227–234. 6 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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