Mudita Singhal

3.4k total citations · 1 hit paper
24 papers, 2.4k citations indexed

About

Mudita Singhal is a scholar working on Molecular Biology, Information Systems and Management and Artificial Intelligence. According to data from OpenAlex, Mudita Singhal has authored 24 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 4 papers in Information Systems and Management and 3 papers in Artificial Intelligence. Recurrent topics in Mudita Singhal's work include Bioinformatics and Genomic Networks (15 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Mudita Singhal is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Microbial Metabolic Engineering and Bioproduction (7 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). Mudita Singhal collaborates with scholars based in United States. Mudita Singhal's co-authors include Ursula Kummer, Christine Lee, Stefan Hoops, Pedro Mendes, Jürgen Pahle, Liang Xu, Sven Sahle, Ralph Gauges, Haluk Resat and Ronald C. Taylor and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Mudita Singhal

24 papers receiving 2.4k 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.

COPASI—a COmplex PAthway SImulator

2006 1.8k citations Stefan Hoops, Sven Sahle et al. Bioinformatics profile →

Peers

Countries citing papers authored by Mudita Singhal

Since Specialization

Citations

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

Fields of papers citing papers by Mudita Singhal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mudita Singhal

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Benchmark study of automatic annotation of MALDI-TOF N-glycan profiles 2015 ·Journal of Proteomics ·(unknown), Doron Kletter, Mudita Singhal, Marshall Bern	4
2	Footprints: A Visual Search Tool that Supports Discovery and Coverage Tracking 2014 ·IEEE Transactions on Visualization and Computer Graphics ·Ellen Isaacs, K. L. D’Amico, Shane Ahern, (unknown), Mudita Singhal	13
3	Machine learning based prediction for peptide drift times in ion mobility spectrometry 2010 ·Bioinformatics ·Anuj Shah, Khushbu Agarwal, Erin Baker, Mudita Singhal, Anoop Mayampurath, Yehia Ibrahim, Lars J. Kangas, Matthew Monroe, Rui Zhao, Mikhail E. Belov, Gordon Anderson, Richard Smith	34
4	Separating the Drivers from the Driven: Integrative Network and Pathway Approaches Aid Identification of Disease Biomarkers from High-Throughput Data 2010 ·Disease Markers ·Jason McDermott, (unknown), Derek B. Janszen, Mudita Singhal, Susan C. Tilton	15
5	Biological Network Inference and Analysis Using SEBINI and CABIN 2009 ·Methods in molecular biology ·Ronald C. Taylor, Mudita Singhal	8
6	A Network Inference Workflow Applied to Virulence‐Related Processes in Salmonella typhimurium 2009 ·Annals of the New York Academy of Sciences ·Ronald C. Taylor, Mudita Singhal, (unknown), (unknown), Liang Shi, Jason McDermott	3
7	Proteomic and Phospho-Proteomic Profile of Human Platelets in Basal, Resting State: Insights into Integrin Signaling 2009 ·PLoS ONE ·(unknown), Vineet Chaoji, Dony Maiguel, Mohd Hafeez Faridi, (unknown), (unknown), Mudita Singhal, (unknown), Bryan Krastins, Mitsunori Ogihara, Mohammed J. Zaki, Vineet Gupta	124
8	An analysis pipeline for the inference of protein-protein interaction networks 2009 ·International Journal of Data Mining and Bioinformatics ·Ronald C. Taylor, Mudita Singhal, Don S. Daly, Jason M. Gilmore, William R. Cannon, (unknown), Amanda M. White, Deanna L. Auberry, Kenneth J. Auberry, Brian Hooker, Gregory B. Hurst, Jason McDermott, W. Hayes McDonald, Dale A. Pelletier, Denise D. Schmoyer, H Wiley	1
9	Site-Specific Protein Adducts of 4-Hydroxy-2(E)-Nonenal in Human THP-1 Monocytic Cells: Protein Carbonylation Is Diminished by Ascorbic Acid 2009 ·Chemical Research in Toxicology ·Juan D. Chavez, Woon‐Gye Chung, Cristobal L. Miranda, Mudita Singhal, Jan F. Stevens, Claudia S. Maier	65
10	Network Inference Algorithms Elucidate Nrf2 Regulation of Mouse Lung Oxidative Stress 2008 ·PLoS Computational Biology ·Ronald C. Taylor, George K. Acquaah-Mensah, Mudita Singhal, Deepti Malhotra, Shyam Biswal	76
11	Characterization of the Mouse Pancreatic Islet Proteome and Comparative Analysis with Other Mouse Tissues 2008 ·Journal of Proteome Research ·Vladislav Petyuk, Weijun Qian, Charlotte Hinault, Marina Gritsenko, Mudita Singhal, Matthew Monroe, David Camp, Rohit Kulkarni, Richard Smith	40
12	An Extensible, Scalable Architecture for Managing Bioinformatics Data and Analyses 2008 ·Anuj Shah, Mudita Singhal, Tara Gibson, (unknown), Katrina M. Waters, Ian Gorton	8
13	A domain-based approach to predict protein-protein interactions 2007 ·BMC Bioinformatics ·Mudita Singhal, Haluk Resat	65
14	CABIN: Collective Analysis of Biological Interaction Networks 2007 ·Computational Biology and Chemistry ·Mudita Singhal, (unknown)	18
15	SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with a Case Study in Protein-Protein Interaction Network Reconstruction 2007 ·Ronald C. Taylor, Mudita Singhal, Don S. Daly, (unknown), Amanda M. White, Deanna L. Auberry, Kenneth J. Auberry, Brian Hooker, Gregory B. Hurst, Jason McDermott, W. Hayes McDonald, Dale A. Pelletier, Denise D. Schmoyer, William R. Cannon	3
16	PQuad—a visual analysis platform for proteomic data exploration of microbial organisms 2007 ·Bioinformatics ·Bobbie‐Jo Webb‐Robertson, Elena Peterson, Mudita Singhal, (unknown), Christopher Oehmen, Joshua Adkins, S. Havre	1
17	Breaking the High-Throughput Bottleneck: New tools help biologists integrate complex datasets 2006 ·OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) ·Katrina M. Waters, Mudita Singhal, Bobbie‐Jo Webb‐Robertson, Eric Stephan, (unknown)	2
18	COPASI—a COmplex PAthway SImulator breakdown → 2006 ·Bioinformatics ·Stefan Hoops, Sven Sahle, Ralph Gauges, Christine Lee, Jürgen Pahle, (unknown), Mudita Singhal, Liang Xu, Pedro Mendes, Ursula Kummer	1838
19	Simulation of Biochemical Networks using Copasi - A Complex Pathway Simulator 2006 ·Research Explorer (The University of Manchester) ·Sven Sahle, Ralph Gauges, Jürgen Pahle, (unknown), Ursula Kummer, Stefan Hoops, Christine Lee, Mudita Singhal, Liang Xu, Pedro Mendes	8
20	Integrating Evolving Tools for Proteomics Research 2004 ·S. Havre, Mudita Singhal, Banu Gopalan, Deborah Payne, (unknown), (unknown), Kenneth J. Auberry, Eric Stephan, Bobbie‐Jo Webb‐Robertson, (unknown)	1

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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