J. Krishnan

547 total citations
42 papers, 401 citations indexed

About

J. Krishnan is a scholar working on Molecular Biology, Cell Biology and Biophysics. According to data from OpenAlex, J. Krishnan has authored 42 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 13 papers in Cell Biology and 11 papers in Biophysics. Recurrent topics in J. Krishnan's work include Gene Regulatory Network Analysis (23 papers), Cellular Mechanics and Interactions (9 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). J. Krishnan is often cited by papers focused on Gene Regulatory Network Analysis (23 papers), Cellular Mechanics and Interactions (9 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). J. Krishnan collaborates with scholars based in United Kingdom, United States and Thailand. J. Krishnan's co-authors include Pablo A. Iglesias, Daniel D. Seaton, Yun‐Bo Zhao, Xiao Yun Xu, Justin Stebbing, Russell Betney, Ian Stansfield, Cong Liu, Sumit Paliwal and Andre Levchenko and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and IEEE Transactions on Automatic Control.

In The Last Decade

J. Krishnan

42 papers receiving 397 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
J. Krishnan 286 81 56 51 47 42 401
Chetan Gadgil 447 1.6× 99 1.2× 58 1.0× 52 1.0× 24 0.5× 37 613
Kathy Chen 513 1.8× 129 1.6× 26 0.5× 60 1.2× 26 0.6× 6 592
Kazunari Kaizu 673 2.4× 59 0.7× 68 1.2× 45 0.9× 91 1.9× 24 778
Louise Ashall 524 1.8× 32 0.4× 33 0.6× 86 1.7× 78 1.7× 4 778
Michael Klann 270 0.9× 70 0.9× 32 0.6× 49 1.0× 62 1.3× 14 347
Adriana T. Dawes 211 0.7× 318 3.9× 110 2.0× 14 0.3× 61 1.3× 31 514
Franziska Witzel 395 1.4× 46 0.6× 25 0.4× 24 0.5× 32 0.7× 10 507
Jannis Uhlendorf 368 1.3× 34 0.4× 79 1.4× 27 0.5× 42 0.9× 13 437
Carlos Salazar 467 1.6× 125 1.5× 19 0.3× 46 0.9× 18 0.4× 15 589
Noriko Hiroi 245 0.9× 66 0.8× 57 1.0× 19 0.4× 70 1.5× 43 460

Countries citing papers authored by J. Krishnan

Since Specialization
Citations

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

Fields of papers citing papers by J. Krishnan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Krishnan

This figure shows the co-authorship network connecting the top 25 collaborators of J. Krishnan. A scholar is included among the top collaborators of J. Krishnan 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 J. Krishnan. J. Krishnan 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.
Krishnan, J., et al.. (2024). The interaction of core modules as a basis for elucidating network behavior determining Parkinson's disease pathogenesis. CPT Pharmacometrics & Systems Pharmacology. 13(3). 335–340. 2 indexed citations
2.
Krishnan, J., et al.. (2023). Network regulation meets substrate modification chemistry. Journal of The Royal Society Interface. 20(199). 20220510–20220510. 4 indexed citations
3.
Krishnan, J., et al.. (2021). Spatial localisation meets biomolecular networks. Nature Communications. 12(1). 5357–5357. 8 indexed citations
4.
Krishnan, J., et al.. (2020). Exploring cyclic networks of multisite modification reveals origins of information processing characteristics. Scientific Reports. 10(1). 16542–16542. 1 indexed citations
5.
Krishnan, J., et al.. (2019). Adaptive information processing of network modules to dynamic and spatial stimuli. BMC Systems Biology. 13(1). 32–32. 12 indexed citations
6.
Krishnan, J., et al.. (2017). Modelling compartmentalization towards elucidation and engineering of spatial organization in biochemical pathways. Scientific Reports. 7(1). 12057–12057. 9 indexed citations
7.
Seaton, Daniel D. & J. Krishnan. (2016). Model-Based Analysis of Cell Cycle Responses to Dynamically Changing Environments. PLoS Computational Biology. 12(1). e1004604–e1004604. 10 indexed citations
8.
Krishnan, J., et al.. (2015). Spatial Control of Biochemical Modification Cascades and Pathways. Biophysical Journal. 108(12). 2912–2924. 17 indexed citations
9.
Zhao, Yun‐Bo & J. Krishnan. (2014). mRNA translation and protein synthesis: an analysis of different modelling methodologies and a new PBN based approach. BMC Systems Biology. 8(1). 25–25. 23 indexed citations
10.
Krishnan, J., et al.. (2013). Covalent Modification Cycles through the Spatial Prism. Biophysical Journal. 105(7). 1720–1731. 5 indexed citations
11.
Krishnan, J., et al.. (2012). An investigation of spatial signal transduction in cellular networks. BMC Systems Biology. 6(1). 83–83. 11 indexed citations
12.
Seaton, Daniel D. & J. Krishnan. (2012). Effects of multiple enzyme–substrate interactions in basic units of cellular signal processing. Physical Biology. 9(4). 45009–45009. 6 indexed citations
13.
Krishnan, J., et al.. (2011). A systems-based mathematical modelling framework for investigating the effect of drugs on solid tumours. Theoretical Biology and Medical Modelling. 8(1). 45–45. 10 indexed citations
14.
Silva, Eric de, J. Krishnan, Russell Betney, & Ian Stansfield. (2010). A mathematical modelling framework for elucidating the role of feedback control in translation termination. Journal of Theoretical Biology. 264(3). 808–821. 9 indexed citations
15.
Krishnan, J., et al.. (2010). An investigation of design principles underlying repulsive and attractive gradient sensing and their switching. Journal of Theoretical Biology. 273(1). 80–99. 1 indexed citations
16.
Krishnan, J., et al.. (2010). A mathematical modelling framework for understanding chemorepulsive signal transduction in Dictyostelium. Journal of Theoretical Biology. 266(1). 140–153. 3 indexed citations
17.
Krishnan, J. & Pablo A. Iglesias. (2006). Receptor-Mediated and Intrinsic Polarization and Their Interaction in Chemotaxing Cells. Biophysical Journal. 92(3). 816–830. 18 indexed citations
18.
Krishnan, J. & Pablo A. Iglesias. (2005). A modelling framework describing the enzyme regulation of membrane lipids underlying gradient perception in Dictyostelium cells II: Input–output analysis. Journal of Theoretical Biology. 235(4). 504–520. 8 indexed citations
19.
Krishnan, J. & Pablo A. Iglesias. (2004). A modeling framework describing the enzyme regulation of membrane lipids underlying gradient perception in Dictyostelium cells. Journal of Theoretical Biology. 229(1). 85–99. 19 indexed citations
20.
Krishnan, J. & Pablo A. Iglesias. (2004). Uncovering directional sensing: where are we headed?. PubMed. 1(1). 54–61. 13 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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