Mudita Singhal
Impact in
- Molecular Biology top 5%
- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Protein Structure and Dynamics
- Metabolomics and Mass Spectrometry Studies
- Process Chemistry and Technology top 10%
Papers in
-
- Bioinformatics and Genomic Networks 15
- Microbial Metabolic Engineering and Bioproduction 7
- Metabolomics and Mass Spectrometry Studies 4
- Gene Regulatory Network Analysis 4
- Gene expression and cancer classification 3
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- Scientific Computing and Data Management 4
- Co-authors
- Ursula Kummer (2 shared papers)Christine Lee (2 shared papers)Sven Sahle (2 shared papers)Stefan Hoops (2 shared papers)Ralph Gauges (2 shared papers)Liang Xu (2 shared papers)Jürgen Pahle (2 shared papers)Pedro Mendes (2 shared papers)
- Journals
- Bioinformatics (4 papers)Journal of Proteome Research (1 paper)BMC Bioinformatics (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Disease Markers (1 paper)
- Partner nations
- United States
In The Last Decade
Mudita Singhal
24 papers receiving 2.4k citations
Mudita Singhal's Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 1.7k
- Process Chemistry and Technology 37
- Biophysics 73
- Modeling and Simulation 51
- Aging 19
Countries citing papers authored by Mudita Singhal
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
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-authors
The 25 scholars most cited alongside Mudita Singhal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | COPASI—a COmplex PAthway SImulator Hit paper breakdown → | 2006 | 1838 |
| 2 | 2009 | 124 | |
| 3 | 2008 | 76 | |
| 4 | 2007 | 65 | |
| 5 | 2009 | 65 | |
| 6 | 2015 | 41 | |
| 7 | 2008 | 40 | |
| 8 | 2007 | 35 | |
| 9 | 2010 | 34 | |
| 10 | 2007 | 18 | |
| 11 | 2010 | 17 | |
| 12 | 2010 | 15 | |
| 13 | 2009 | 14 | |
| 14 | 2014 | 13 | |
| 15 | 2009 | 8 | |
| 16 | 2006 | 8 | |
| 17 | 2008 | 8 | |
| 18 | 2015 | 4 | |
| 19 | 2009 | 3 | |
| 20 | 2007 | 3 |
About Mudita Singhal
Mudita Singhal is a scholar working on Molecular Biology, Information Systems and Management, Artificial Intelligence, Computational Theory and Mathematics and Genetics, having authored 24 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Scientific Computing and Data Management (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Gene Regulatory Network Analysis (4 papers), Computational Drug Discovery Methods (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Process Chemistry and Technology (37 citations), Biophysics (73 citations), Modeling and Simulation (51 citations) and Aging (19 citations). Mudita Singhal has collaborated with scholars based in United States. Frequent co-authors include Ursula Kummer, Christine Lee, Sven Sahle, Stefan Hoops, Ralph Gauges, Liang Xu, Jürgen Pahle, Pedro Mendes, Haluk Resat and Ronald C. Taylor. Their work appears in journals such as Bioinformatics, Journal of Proteome Research, BMC Bioinformatics, IEEE Transactions on Visualization and Computer Graphics and Disease Markers.
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.