Sunandan Mukherjee

1.8k total citations · 2 hit papers
26 papers, 1.1k citations indexed

About

Sunandan Mukherjee is a scholar working on Molecular Biology, Materials Chemistry and Ecology. According to data from OpenAlex, Sunandan Mukherjee has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 6 papers in Materials Chemistry and 2 papers in Ecology. Recurrent topics in Sunandan Mukherjee's work include RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (14 papers) and RNA Research and Splicing (11 papers). Sunandan Mukherjee is often cited by papers focused on RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (14 papers) and RNA Research and Splicing (11 papers). Sunandan Mukherjee collaborates with scholars based in Poland, India and France. Sunandan Mukherjee's co-authors include Janusz M. Bujnicki, Andrea Cappannini, Filip Stefaniak, Angana Ray, Elżbieta Purta, Pietro Boccaletto, Chandran Nithin, Ranjit Prasad Bahadur, Gülben Avşar and Silvestro G. Conticello and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and The EMBO Journal.

In The Last Decade

Sunandan Mukherjee

24 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MODOMICS: a database of RNA modification pathways. 2021 update

2021 550 citations Pietro Boccaletto, Filip Stefaniak et al. Nucleic Acids Research profile →
MODOMICS: a database of RNA modifications and related information. 2023 update

2023 193 citations Andrea Cappannini, Angana Ray et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sunandan Mukherjee Poland	12	1.0k	270	62	53	36	26	1.1k
Marjorie Catala France	11	638 0.6×	189 0.7×	65 1.0×	54 1.0×	13 0.4×	22	675
Colleen M. Connelly United States	13	872 0.9×	371 1.4×	28 0.5×	12 0.2×	71 2.0×	22	1.0k
Li Su China	14	559 0.5×	133 0.5×	76 1.2×	10 0.2×	24 0.7×	41	752
Sweta Vangaveti United States	12	479 0.5×	93 0.3×	28 0.5×	15 0.3×	24 0.7×	27	543
Anna Olchowik Poland	2	951 0.9×	228 0.8×	46 0.7×	35 0.7×	20 0.6×	3	970
Błażej Bagiński Spain	6	1.4k 1.4×	507 1.9×	73 1.2×	97 1.8×	15 0.4×	7	1.4k
Nina G. Dolinnaya Russia	18	939 0.9×	55 0.2×	33 0.5×	26 0.5×	17 0.5×	70	993
Shawn O’Malley United States	9	910 0.9×	42 0.2×	40 0.6×	21 0.4×	19 0.5×	12	1.0k
Pietro Boccaletto Poland	9	2.2k 2.2×	790 2.9×	142 2.3×	149 2.8×	21 0.6×	10	2.3k
Hafeez S. Haniff United States	13	618 0.6×	125 0.5×	50 0.8×	5 0.1×	43 1.2×	15	723

Countries citing papers authored by Sunandan Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Sunandan Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunandan Mukherjee

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

20 of 20 papers shown

Mondal, K., et al.. (2025). Modeling flexible RNA 3D structures and RNA-protein complexes. Current Opinion in Structural Biology. 94. 103137–103137.

Boileau, Etienne, Sunandan Mukherjee, S Naeim Moafinejad, et al.. (2025). MODOMICS: a database of RNA modifications and related information. 2025 update and 20th anniversary. Nucleic Acids Research. 54(D1). D219–D225. 1 indexed citations

Biela, Anna, Jakub Nowak, Artur Biela, et al.. (2025). Determining the effects of pseudouridine incorporation on human tRNAs. The EMBO Journal. 44(13). 3553–3585. 5 indexed citations

Nithin, Chandran, et al.. (2025). Protein‐ RNA Docking Benchmark v3.0 Integrated With Binding Affinity. Proteins Structure Function and Bioinformatics. 93(9). 1534–1552.

Mukherjee, Sunandan, et al.. (2024). Advances in the field of RNA 3D structure prediction and modeling, with purely theoretical approaches, and with the use of experimental data. Structure. 32(11). 1860–1876. 13 indexed citations

Chojnowski, Grzegorz, et al.. (2023). RNA 3D structure modeling by fragment assembly with small-angle X-ray scattering restraints. Bioinformatics. 39(9). 9 indexed citations

Baulin, Eugene F., Sunandan Mukherjee, S Naeim Moafinejad, et al.. (2023). RNA tertiary structure prediction in CASP15 by the GeneSilico group: Folding simulations based on statistical potentials and spatial restraints. Proteins Structure Function and Bioinformatics. 91(12). 1800–1810. 7 indexed citations

Cappannini, Andrea, Angana Ray, Elżbieta Purta, et al.. (2023). MODOMICS: a database of RNA modifications and related information. 2023 update. Nucleic Acids Research. 52(D1). D239–D244. 193 indexed citations breakdown →

Nithin, Chandran, Sunandan Mukherjee, Jolly Basak, & Ranjit Prasad Bahadur. (2022). NCodR: A multi-class support vector machine classification to distinguish non-coding RNAs in Viridiplantae. SHILAP Revista de lepidopterología. 3. e23–e23. 3 indexed citations

10.

Neubacher, Saskia, Chandran Nithin, Sunandan Mukherjee, et al.. (2021). Constrained peptides mimic a viral suppressor of RNA silencing. Nucleic Acids Research. 49(22). 12622–12633. 15 indexed citations

11.

Bose, Madhuparna, et al.. (2021). Residues at the interface between zinc binding and winged helix domains of human RECQ1 play a significant role in DNA strand annealing activity. Nucleic Acids Research. 49(20). 11834–11854. 2 indexed citations

12.

Boccaletto, Pietro, Filip Stefaniak, Angana Ray, et al.. (2021). MODOMICS: a database of RNA modification pathways. 2021 update. Nucleic Acids Research. 50(D1). D231–D235. 550 indexed citations breakdown →

13.

Wirecki, Tomasz, Chandran Nithin, Sunandan Mukherjee, Janusz M. Bujnicki, & M. Boniecki. (2020). Modeling of Three-Dimensional RNA Structures Using SimRNA. Methods in molecular biology. 2165. 103–125. 16 indexed citations

14.

Ponce-Salvatierra, Almudena, et al.. (2019). Computational modeling of RNA 3D structure based on experimental data. Bioscience Reports. 39(2). 31 indexed citations

15.

Nithin, Chandran, Sunandan Mukherjee, & Ranjit Prasad Bahadur. (2019). A structure-based model for the prediction of protein–RNA binding affinity. RNA. 25(12). 1628–1645. 11 indexed citations

16.

Mukherjee, Sunandan, et al.. (2019). QRNAS: software tool for refinement of nucleic acid structures. BMC Structural Biology. 19(1). 5–5. 58 indexed citations

17.

Mukherjee, Sunandan & Ranjit Prasad Bahadur. (2018). An account of solvent accessibility in protein-RNA recognition. Scientific Reports. 8(1). 10546–10546. 34 indexed citations

18.

Nithin, Chandran, Sunandan Mukherjee, & Ranjit Prasad Bahadur. (2016). A non-redundant protein-RNA docking benchmark version 2.0. Proteins Structure Function and Bioinformatics. 85(2). 256–267. 27 indexed citations

19.

Nithin, Chandran, et al.. (2015). Probing binding hot spots at protein–RNA recognition sites. Nucleic Acids Research. 44(2). e9–e9. 37 indexed citations

20.

Misra, Jagannath, Sunandan Mukherjee, & Amit Kumar Das. (2004). A mathematical model for enzymatic action on DNA knots and links. Mathematical and Computer Modelling. 39(13). 1423–1430. 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.

Explore authors with similar magnitude of impact