Vijaya Parthiban

1.9k total citations · 1 hit paper
5 papers, 767 citations indexed

About

Vijaya Parthiban is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Vijaya Parthiban has authored 5 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Genetics. Recurrent topics in Vijaya Parthiban's work include Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers) and Enzyme Structure and Function (3 papers). Vijaya Parthiban is often cited by papers focused on Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers) and Enzyme Structure and Function (3 papers). Vijaya Parthiban collaborates with scholars based in Germany, Japan and United Kingdom. Vijaya Parthiban's co-authors include Dietmar Schomburg, M. Michael Gromiha, Mark D. Kilby, Sarah Hillman, Dominic McMullan, Eamonn R. Maher, Keren Carss, Christian Hoppe, Johannes Winkler and Jürgen Hescheler and has published in prestigious journals such as Nucleic Acids Research, Human Molecular Genetics and Proteins Structure Function and Bioinformatics.

In The Last Decade

Vijaya Parthiban

5 papers receiving 749 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.

CUPSAT: prediction of protein stability upon point mutations

2006 539 citations Vijaya Parthiban, M. Michael Gromiha 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
Vijaya Parthiban Germany	5	540	210	102	95	49	5	767
Laurie K. Jackson United States	17	745 1.4×	68 0.3×	101 1.0×	37 0.4×	70 1.4×	23	981
Leela Shrestha United Kingdom	10	429 0.8×	109 0.5×	38 0.4×	29 0.3×	56 1.1×	11	701
Thorsten Jumpertz Germany	12	422 0.8×	90 0.4×	23 0.2×	36 0.4×	42 0.9×	17	861
Piya Lahiry Canada	10	378 0.7×	122 0.6×	29 0.3×	14 0.1×	51 1.0×	16	642
P. Mahajan United Kingdom	13	562 1.0×	134 0.6×	55 0.5×	10 0.1×	78 1.6×	26	775
Thomas J. McCorvie United Kingdom	16	435 0.8×	82 0.4×	72 0.7×	47 0.5×	41 0.8×	23	684
Marc Elgort United States	15	589 1.1×	378 1.8×	21 0.2×	23 0.2×	143 2.9×	25	1.1k
Robert R. Lavieri United States	11	440 0.8×	61 0.3×	15 0.1×	37 0.4×	114 2.3×	17	685
Wen‐Shyong Tzou Taiwan	16	460 0.9×	47 0.2×	61 0.6×	14 0.1×	48 1.0×	42	923
Karen W. Barbour United States	16	426 0.8×	61 0.3×	34 0.3×	19 0.2×	73 1.5×	30	721

Countries citing papers authored by Vijaya Parthiban

Since Specialization

Citations

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

Fields of papers citing papers by Vijaya Parthiban

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijaya Parthiban

This figure shows the co-authorship network connecting the top 25 collaborators of Vijaya Parthiban. A scholar is included among the top collaborators of Vijaya Parthiban 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 Vijaya Parthiban. Vijaya Parthiban 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.

Carss, Keren, Sarah Hillman, Vijaya Parthiban, et al.. (2014). Exome sequencing improves genetic diagnosis of structural fetal abnormalities revealed by ultrasound. Human Molecular Genetics. 23(12). 3269–3277. 128 indexed citations

2.

Parthiban, Vijaya, et al.. (2007). Computational modeling of protein mutant stability: analysis and optimization of statistical potentials and structural features reveal insights into prediction model development. BMC Structural Biology. 7(1). 54–54. 38 indexed citations

3.

Winkler, Johannes, et al.. (2006). Dietary Small Molecules and Large-Scale Gene Expression Studies: An Experimental Approach for Understanding their Beneficial Effects on the Development of Malignant and Non-Malignant Proliferative Diseases. Current Medicinal Chemistry. 13(13). 1481–1489. 10 indexed citations

4.

Parthiban, Vijaya, M. Michael Gromiha, & Dietmar Schomburg. (2006). CUPSAT: prediction of protein stability upon point mutations. Nucleic Acids Research. 34(Web Server). W239–W242. 539 indexed citations breakdown →

5.

Parthiban, Vijaya, M. Michael Gromiha, Christian Hoppe, & Dietmar Schomburg. (2006). Structural analysis and prediction of protein mutant stability using distance and torsion potentials: Role of secondary structure and solvent accessibility. Proteins Structure Function and Bioinformatics. 66(1). 41–52. 52 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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