Avik Mukherjee

558 total citations
10 papers, 302 citations indexed

About

Avik Mukherjee is a scholar working on Molecular Biology, Genetics and Biophysics. According to data from OpenAlex, Avik Mukherjee has authored 10 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Biophysics. Recurrent topics in Avik Mukherjee's work include Evolution and Genetic Dynamics (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Protein Structure and Dynamics (2 papers). Avik Mukherjee is often cited by papers focused on Evolution and Genetic Dynamics (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Protein Structure and Dynamics (2 papers). Avik Mukherjee collaborates with scholars based in United States, Switzerland and Germany. Avik Mukherjee's co-authors include Markus Basan, Yu‐Fang Chang, Johan Paulsson, James R. Williamson, Uwe Sauer, Hiroyuki Okano, Manuel Hörl, Carlos Martínez Sánchez, Tomoya Honda and Terence Hwa and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Avik Mukherjee

9 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Avik Mukherjee United States	7	168	85	54	48	37	10	302
Arno Germond Japan	9	194 1.2×	30 0.4×	69 1.3×	130 2.7×	34 0.9×	23	390
Wyming Lee Pang United States	10	552 3.3×	145 1.7×	154 2.9×	73 1.5×	77 2.1×	12	727
Filippo Barni Italy	11	229 1.4×	234 2.8×	81 1.5×	41 0.9×	65 1.8×	26	524
Moshe Kafri Israel	7	431 2.6×	114 1.3×	31 0.6×	9 0.2×	36 1.0×	8	518
Bruno M.C. Martins United Kingdom	7	189 1.1×	54 0.6×	29 0.5×	25 0.5×	24 0.6×	11	264
Benjamin D. Knapp United States	7	158 0.9×	46 0.5×	41 0.8×	18 0.4×	37 1.0×	12	281
Giampietro Lago Italy	6	151 0.9×	121 1.4×	70 1.3×	20 0.4×	20 0.5×	17	362
Noreen Walker Netherlands	4	325 1.9×	171 2.0×	47 0.9×	35 0.7×	43 1.2×	5	394
Marieke Schor United Kingdom	14	274 1.6×	56 0.7×	34 0.6×	7 0.1×	77 2.1×	22	418
Sergei Khrapunov United States	12	339 2.0×	86 1.0×	28 0.5×	17 0.4×	21 0.6×	32	435

Countries citing papers authored by Avik Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Avik Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avik Mukherjee

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

All Works

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10 of 10 papers shown

Mukherjee, Avik, Yanqing Huang, Jens Elgeti, et al.. (2025). Membrane potential mediates the cellular response to mechanical pressure. Cell. 189(1). 143–160.e22.

Mukherjee, Avik, et al.. (2024). Plasticity of growth laws tunes resource allocation strategies in bacteria. PLoS Computational Biology. 20(1). e1011735–e1011735. 6 indexed citations

Schink, Severin, Avik Mukherjee, Constantin Ammar, et al.. (2024). Survival dynamics of starving bacteria are determined by ion homeostasis that maintains plasmolysis. Nature Physics. 20(8). 1332–1338. 8 indexed citations

Huang, Yanqing, et al.. (2024). Evolution and stability of complex microbial communities driven by trade-offs. Molecular Systems Biology. 20(9). 997–1005. 3 indexed citations

Wu, Wenxuan, Avik Mukherjee, Pooja Suresh, et al.. (2023). A semiconductor 96-microplate platform for electrical-imaging based high-throughput phenotypic screening. Nature Communications. 14(1). 7576–7576. 12 indexed citations

Mukherjee, Avik, et al.. (2023). Coexisting ecotypes in long-term evolution emerged from interacting trade-offs. Nature Communications. 14(1). 3805–3805. 11 indexed citations

Oh, Seungeun, ChangHee Lee, Wenlong Yang, et al.. (2022). Protein and lipid mass concentration measurement in tissues by stimulated Raman scattering microscopy. Proceedings of the National Academy of Sciences. 119(17). e2117938119–e2117938119. 71 indexed citations

Abbott, Jeffrey, Avik Mukherjee, Wenxuan Wu, et al.. (2022). Multi-parametric functional imaging of cell cultures and tissues with a CMOS microelectrode array. Lab on a Chip. 22(7). 1286–1296. 30 indexed citations

Basan, Markus, Tomoya Honda, Dimitris Christodoulou, et al.. (2020). A universal trade-off between growth and lag in fluctuating environments. Nature. 584(7821). 470–474. 143 indexed citations

10.

Morais‐de‐Sá, Eurico, Avik Mukherjee, Nicholas J. Lowe, & Daniel St Johnston. (2014). Slmb antagonises the aPKC/Par-6 complex to control oocyte and epithelial polarity. Development. 141(15). 2984–2992. 18 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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