Kumar Yugandhar

894 total citations
17 papers, 548 citations indexed

About

Kumar Yugandhar is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Kumar Yugandhar has authored 17 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 5 papers in Spectroscopy. Recurrent topics in Kumar Yugandhar's work include Protein Structure and Dynamics (9 papers), Bioinformatics and Genomic Networks (9 papers) and Computational Drug Discovery Methods (5 papers). Kumar Yugandhar is often cited by papers focused on Protein Structure and Dynamics (9 papers), Bioinformatics and Genomic Networks (9 papers) and Computational Drug Discovery Methods (5 papers). Kumar Yugandhar collaborates with scholars based in India, United States and Singapore. Kumar Yugandhar's co-authors include M. Michael Gromiha, Sherlyn Jemimah, Haiyuan Yu, Shagun Gupta, Marcus B. Smolka, Ethan J. Sanford, J. Christopher Fromme, Michael C. Lanz, Ting‐Yi Wang and Vítor M. Faça and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and Bioinformatics.

In The Last Decade

Kumar Yugandhar

17 papers receiving 545 citations

Peers

Countries citing papers authored by Kumar Yugandhar

Since Specialization

Citations

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

Fields of papers citing papers by Kumar Yugandhar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kumar Yugandhar

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Deep learning-based method for predicting and classifying the binding affinity of protein-protein complexes 2023 ·Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics ·(unknown), Kumar Yugandhar, M. Michael Gromiha	8
2	DeepBSRPred: deep learning-based binding site residue prediction for proteins 2022 ·Amino Acids ·(unknown), Kumar Yugandhar, M. Michael Gromiha	5
3	Handcuffing intrinsically disordered regions in Mlh1–Pms1 disrupts mismatch repair 2021 ·Nucleic Acids Research ·(unknown), Ting‐Yi Wang, Qiuye Zhao, Kumar Yugandhar, Haiyuan Yu, Eric Alani	4
4	In‐depth and 3‐dimensional exploration of the budding yeast phosphoproteome 2021 ·EMBO Reports ·Michael C. Lanz, Kumar Yugandhar, Shagun Gupta, Ethan J. Sanford, Vítor M. Faça, (unknown), (unknown), J. Christopher Fromme, Haiyuan Yu, Marcus B. Smolka	88
5	Progress in methodologies and quality‐control strategies in protein cross‐linking mass spectrometry 2021 ·PROTEOMICS ·Kumar Yugandhar, Qiuye Zhao, (unknown), Dapeng Xiong, Haiyuan Yu	6
6	Structural basis of TRAPPIII‐mediated Rab1 activation 2021 ·The EMBO Journal ·(unknown), Ben P. Phillips, Kumar Yugandhar, Ethan J. Sanford, Marcus B. Smolka, Haiyuan Yu, Elizabeth A. Miller, J. Christopher Fromme	30
7	Structure-based validation can drastically underestimate error rate in proteome-wide cross-linking mass spectrometry studies 2020 ·Nature Methods ·Kumar Yugandhar, Ting‐Yi Wang, Shayne D. Wierbowski, (unknown), Haiyuan Yu	26
8	Inferring Protein-Protein Interaction Networks From Mass Spectrometry-Based Proteomic Approaches: A Mini-Review 2019 ·Computational and Structural Biotechnology Journal ·Kumar Yugandhar, Shagun Gupta, Haiyuan Yu	38
9	MaXLinker: Proteome-wide Cross-link Identifications with High Specificity and Sensitivity 2019 ·Molecular & Cellular Proteomics ·Kumar Yugandhar, Ting‐Yi Wang, Alden King-Yung Leung, Michael C. Lanz, Ievgen Motorykin, Jin Liang, (unknown), Marcus B. Smolka, Sheng Zhang, Haiyuan Yu	35
10	Integrating computational methods and experimental data for understanding the recognition mechanism and binding affinity of protein-protein complexes 2017 ·Progress in Biophysics and Molecular Biology ·M. Michael Gromiha, Kumar Yugandhar	8
11	PROXiMATE: a database of mutant protein–protein complex thermodynamics and kinetics 2017 ·Bioinformatics ·Sherlyn Jemimah, Kumar Yugandhar, M. Michael Gromiha	56
12	Protein–protein interactions: scoring schemes and binding affinity 2016 ·Current Opinion in Structural Biology ·M. Michael Gromiha, Kumar Yugandhar, Sherlyn Jemimah	90
13	Computational Approaches for Predicting Binding Partners, Interface Residues, and Binding Affinity of Protein–Protein Complexes 2016 ·Methods in molecular biology ·Kumar Yugandhar, M. Michael Gromiha	5
14	Important amino acid residues involved in folding and binding of protein–protein complexes 2016 ·International Journal of Biological Macromolecules ·A. Kulandaisamy, (unknown), (unknown), Kumar Yugandhar, M. Michael Gromiha	21
15	Analysis of protein-protein interaction networks based on binding affinity 2015 ·Current Protein and Peptide Science ·Kumar Yugandhar, M. Michael Gromiha	7
16	Feature selection and classification of protein-protein complexes based on their binding affinities using machine learning approaches 2014 ·Proteins Structure Function and Bioinformatics ·Kumar Yugandhar, M. Michael Gromiha	31
17	Protein–protein binding affinity prediction from amino acid sequence 2014 ·Bioinformatics ·Kumar Yugandhar, M. Michael Gromiha	90

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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