Karthik Damodaran

503 total citations
5 papers, 281 citations indexed

About

Karthik Damodaran is a scholar working on Molecular Biology, Biophysics and Cell Biology. According to data from OpenAlex, Karthik Damodaran has authored 5 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Biophysics and 2 papers in Cell Biology. Recurrent topics in Karthik Damodaran's work include Cell Image Analysis Techniques (4 papers), Single-cell and spatial transcriptomics (3 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). Karthik Damodaran is often cited by papers focused on Cell Image Analysis Techniques (4 papers), Single-cell and spatial transcriptomics (3 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). Karthik Damodaran collaborates with scholars based in Singapore, Italy and United States. Karthik Damodaran's co-authors include G. V. Shivashankar, Saradha Venkatachalapathy, Caroline Uhler, Doorgesh Sharma Jokhun, Adityanarayanan Radhakrishnan, Anand Radhakrishnan, Farid Alisafaei, Karren Yang, Vivek B. Shenoy and Anastasiya Belyaeva and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Karthik Damodaran

5 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karthik Damodaran Singapore	5	211	89	61	29	20	5	281
Ábel Szkalisity Finland	6	203 1.0×	57 0.6×	66 1.1×	37 1.3×	19 0.9×	7	301
Saradha Venkatachalapathy Italy	8	288 1.4×	160 1.8×	68 1.1×	78 2.7×	27 1.4×	12	415
Jutta Bulkescher Germany	7	287 1.4×	92 1.0×	145 2.4×	42 1.4×	11 0.6×	7	418
Markku Hakala Finland	8	115 0.5×	156 1.8×	36 0.6×	22 0.8×	11 0.6×	12	290
Christophe Zimmer France	5	380 1.8×	51 0.6×	108 1.8×	25 0.9×	29 1.4×	6	486
Hernán Morales‐Navarrete Germany	11	183 0.9×	168 1.9×	51 0.8×	57 2.0×	12 0.6×	22	456
Erin B. Styles Canada	5	204 1.0×	50 0.6×	103 1.7×	31 1.1×	10 0.5×	8	296
Elaheh Alizadeh United States	8	98 0.5×	70 0.8×	73 1.2×	110 3.8×	22 1.1×	12	303
Łukasz Mirosław Poland	6	209 1.0×	68 0.8×	22 0.4×	14 0.5×	25 1.3×	8	305
Akshay Narkar United States	8	281 1.3×	131 1.5×	56 0.9×	52 1.8×	33 1.6×	14	418

Countries citing papers authored by Karthik Damodaran

Since Specialization

Citations

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

Fields of papers citing papers by Karthik Damodaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karthik Damodaran

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

All Works

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5 of 5 papers shown

1.

Yang, Karren, Anastasiya Belyaeva, Saradha Venkatachalapathy, et al.. (2021). Multi-domain translation between single-cell imaging and sequencing data using autoencoders. Nature Communications. 12(1). 31–31. 92 indexed citations

2.

Yang, Karren, et al.. (2020). Predicting cell lineages using autoencoders and optimal transport. PLoS Computational Biology. 16(4). e1007828–e1007828. 29 indexed citations

3.

Damodaran, Karthik, et al.. (2019). Nuclear morphometrics and chromatin condensation patterns as disease biomarkers using a mobile microscope. PLoS ONE. 14(7). e0218757–e0218757. 9 indexed citations

4.

Damodaran, Karthik, Saradha Venkatachalapathy, Farid Alisafaei, et al.. (2018). Compressive force induces reversible chromatin condensation and cell geometry–dependent transcriptional response. Molecular Biology of the Cell. 29(25). 3039–3051. 115 indexed citations

5.

Radhakrishnan, Adityanarayanan, et al.. (2017). Machine Learning for Nuclear Mechano-Morphometric Biomarkers in Cancer Diagnosis. Scientific Reports. 7(1). 17946–17946. 36 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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