Chiranjit Mukherjee

700 total citations
22 papers, 448 citations indexed

About

Chiranjit Mukherjee is a scholar working on Molecular Biology, Periodontics and Plant Science. According to data from OpenAlex, Chiranjit Mukherjee has authored 22 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Periodontics and 5 papers in Plant Science. Recurrent topics in Chiranjit Mukherjee's work include Oral microbiology and periodontitis research (6 papers), Gut microbiota and health (4 papers) and Plant biochemistry and biosynthesis (3 papers). Chiranjit Mukherjee is often cited by papers focused on Oral microbiology and periodontitis research (6 papers), Gut microbiota and health (4 papers) and Plant biochemistry and biosynthesis (3 papers). Chiranjit Mukherjee collaborates with scholars based in United States, India and Canada. Chiranjit Mukherjee's co-authors include Adinpunya Mitra, Eugene J. Leys, Paramita Bera, Ann L. Griffen, Clifford J. Beall, Debabrata Sircar, Shahr B. Hashmi, Jôice Dias Corrêa, Fernando Q. Cunha and Débora Cerqueira Calderaro and has published in prestigious journals such as Scientific Reports, Atmospheric chemistry and physics and Planta.

In The Last Decade

Chiranjit Mukherjee

22 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiranjit Mukherjee United States 12 193 154 76 56 52 22 448
Haruka Fukamachi Japan 12 141 0.7× 106 0.7× 26 0.3× 41 0.7× 39 0.8× 27 396
Cunpei Bo China 12 272 1.4× 319 2.1× 92 1.2× 57 1.0× 108 2.1× 13 637
Dongmei Ai China 12 357 1.8× 110 0.7× 17 0.2× 52 0.9× 76 1.5× 40 615
Gumpili Sai Prashanthi India 11 351 1.8× 114 0.7× 19 0.3× 154 2.8× 89 1.7× 27 696
Dharmaprakash Viszwapriya India 11 310 1.6× 43 0.3× 42 0.6× 28 0.5× 28 0.5× 14 543
Xiaohui Hou China 11 119 0.6× 49 0.3× 42 0.6× 34 0.6× 14 0.3× 53 373
Josiane Campos France 6 191 1.0× 60 0.4× 17 0.2× 41 0.7× 26 0.5× 7 329
Utpal Bakshi India 7 268 1.4× 11 0.1× 76 1.0× 24 0.4× 53 1.0× 11 428
Naoki Fukuma Japan 13 179 0.9× 65 0.4× 90 1.2× 17 0.3× 68 1.3× 29 511
Ching‐Wei Chen Taiwan 9 125 0.6× 30 0.2× 45 0.6× 5 0.1× 50 1.0× 10 281

Countries citing papers authored by Chiranjit Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Chiranjit Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiranjit Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Chiranjit Mukherjee. A scholar is included among the top collaborators of Chiranjit 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 Chiranjit Mukherjee. Chiranjit 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.
2.
Spurbeck, Rachel R., et al.. (2023). Analysis of metatranscriptomic methods to enable wastewater-based biosurveillance of all infectious diseases. Frontiers in Public Health. 11. 1145275–1145275. 6 indexed citations
3.
Mukherjee, Chiranjit, et al.. (2023). UltraSEQ, a Universal Bioinformatic Platform for Information-Based Clinical Metagenomics and Beyond. Microbiology Spectrum. 11(3). e0416022–e0416022. 5 indexed citations
4.
Xü, Wei, Ravi Rajwar, David Culler, et al.. (2023). Towards an Adaptable Systems Architecture for Memory Tiering at Warehouse-Scale. 727–741. 29 indexed citations
5.
Mukherjee, Chiranjit, et al.. (2022). Function-based classification of hazardous biological sequences: Demonstration of a new paradigm for biohazard assessments. Frontiers in Bioengineering and Biotechnology. 10. 979497–979497. 7 indexed citations
6.
Mukherjee, Chiranjit, Shahr B. Hashmi, Clifford J. Beall, et al.. (2021). Acquisition of oral microbiota is driven by environment, not host genetics. Microbiome. 9(1). 54–54. 43 indexed citations
7.
Fidel, Paul L., Elizabeth A. Lilly, Shahr B. Hashmi, et al.. (2021). Effect of HIV/HAART and Other Clinical Variables on the Oral Mycobiome Using Multivariate Analyses. mBio. 12(2). 21 indexed citations
8.
Mukherjee, Chiranjit & Eugene J. Leys. (2021). Strain-Level Profiling of Oral Microbiota with Targeted Sequencing. Methods in molecular biology. 2327. 239–252. 3 indexed citations
9.
Griffen, Ann L., Clifford J. Beall, Elizabeth A. Lilly, et al.. (2019). Significant effect of HIV/HAART on oral microbiota using multivariate analysis. Scientific Reports. 9(1). 19946–19946. 25 indexed citations
10.
Corrêa, Jôice Dias, Gabriel da Rocha Fernandes, Débora Cerqueira Calderaro, et al.. (2019). Oral microbial dysbiosis linked to worsened periodontal condition in rheumatoid arthritis patients. Scientific Reports. 9(1). 8379–8379. 101 indexed citations
11.
Mukherjee, Chiranjit, Clifford J. Beall, Ann L. Griffen, & Eugene J. Leys. (2018). High-resolution ISR amplicon sequencing reveals personalized oral microbiome. Microbiome. 6(1). 153–153. 34 indexed citations
12.
Mukherjee, Chiranjit, F. Sandy Jones, Jerry M. Bigham, & Olli H. Tuovinen. (2016). Synthesis of argentojarosite with simulated bioleaching solutions produced by Acidithiobacillus ferrooxidans. Materials Science and Engineering C. 66. 164–169. 8 indexed citations
13.
Bera, Paramita, Chiranjit Mukherjee, & Adinpunya Mitra. (2016). Enzymatic production and emission of floral scent volatiles in Jasminum sambac. Plant Science. 256. 25–38. 54 indexed citations
14.
Mukherjee, Chiranjit, Tanmoy Samanta, & Adinpunya Mitra. (2015). Redirection of metabolite biosynthesis from hydroxybenzoates to volatile terpenoids in green hairy roots of Daucus carota. Planta. 243(2). 305–320. 18 indexed citations
15.
Mukherjee, Chiranjit & Abel Rodríguez. (2015). GPU-Powered Shotgun Stochastic Search for Dirichlet Process Mixtures of Gaussian Graphical Models. Journal of Computational and Graphical Statistics. 25(3). 762–788. 6 indexed citations
16.
Mukherjee, Chiranjit. (2014). A Study on Socio- Educational and Rehabilitation Status of Street Children in Kolkata. IOSR Journal of Humanities and Social Science. 19(7). 65–102. 4 indexed citations
17.
18.
Mukherjee, Chiranjit, et al.. (2013). Combating photooxidative stress in green hairy roots of Daucus carota cultivated under light irradiation. Journal of Plant Physiology. 171(2). 179–187. 12 indexed citations
19.
Sircar, Debabrata, Hélia Cardoso, Chiranjit Mukherjee, Adinpunya Mitra, & Birgit Arnholdt‐Schmitt. (2012). Alternative oxidase (AOX) and phenolic metabolism in methyl jasmonate-treated hairy root cultures of Daucus carota L.. Journal of Plant Physiology. 169(7). 657–663. 32 indexed citations
20.
Mukherjee, Chiranjit, P. S. Kasibhatla, & Michael L. West. (2011). Bayesian statistical modeling of spatially correlated error structure in atmospheric tracer inverse analysis. Atmospheric chemistry and physics. 11(11). 5365–5382. 9 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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