Lalit Kumar Singh
- Biomedical Engineering top 10%
- Molecular Biology
- Biomaterials
- Biotechnology
- Building and Construction
- Co-authors
- Sanjoy GhoshAshish KumarGaurav ChaudharyC. B. MajumderTirath RajAshutosh Kumar PandeySang–Hyoun KimJungsu Park
- Topics
- Microbial Metabolic Engineering and Bioproduction (9 papers)Biofuel production and bioconversion (9 papers)Enzyme Catalysis and Immobilization (4 papers)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Lalit Kumar Singh
21 papers receiving 383 citations
Peers
Comparison fields: 5 of 63
- Biomedical Engineering 259
- Molecular Biology 174
- Biomaterials 48
- Biotechnology 42
- Building and Construction 41
Countries citing papers authored by Lalit Kumar Singh
This map shows the geographic impact of Lalit Kumar Singh'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 Lalit Kumar Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lalit Kumar Singh more than expected).
Fields of papers citing papers by Lalit Kumar Singh
This network shows the impact of papers produced by Lalit Kumar Singh. 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 Lalit Kumar Singh. The network helps show where Lalit Kumar Singh may publish in the future.
Co-authorship network of co-authors of Lalit Kumar Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Lalit Kumar Singh. A scholar is included among the top collaborators of Lalit Kumar Singh 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 Lalit Kumar Singh. Lalit Kumar Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 20 | |
| 8 | 46 | |
| 9 | 4 | |
| 10 | Response surface and artificial neural network simulation for process design to produce L-lysine by Corynebacterium glutamicum NCIM 2168 | 6 |
| 11 | 12 | |
| 12 | 74 | |
| 13 | 12 | |
| 14 | Utilization of hemicellulosic fraction of lignocellulosic biomaterial for bioethanol production | 17 |
| 15 | 1 | |
| 16 | 142 | |
| 17 | 27 | |
| 18 | Screening of yeasts for ethanol production and treatment of dairy industry waste waters. | 1 |
| 19 | Production of ethyl alcohol from banana peels. | 3 |
| 20 | 1 |
About Lalit Kumar Singh
Lalit Kumar Singh is a scholar working on Medical Laboratory Technology, Applied Microbiology and Biotechnology and Radiological and Ultrasound Technology, having authored 23 papers that have together received 408 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (9 papers), Biofuel production and bioconversion (9 papers) and Enzyme Catalysis and Immobilization (4 papers). The work is most often cited by research in Biomedical Engineering (259 citations), Biotechnology (42 citations) and Energy Engineering and Power Technology (14 citations). Lalit Kumar Singh has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Sanjoy Ghosh, Ashish Kumar, Gaurav Chaudhary, C. B. Majumder, Tirath Raj, Ashutosh Kumar Pandey, Sang–Hyoun Kim, Jungsu Park, Zainab S. Attarbashi and Franck Tancret. Their work appears in journals such as Bioresource Technology, Biomass and Bioenergy and Toxicology.
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.