Lipika Singhal
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Infections and bacterial resistance
- Vibrio bacteria research studies
Papers in
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- Antibiotic Resistance in Bacteria 16
-
- Infections and bacterial resistance 8
- Vibrio bacteria research studies 5
- Co-authors
- Vikas Gautam (20 shared papers)Pallab Ray (11 shared papers)Sunil Kumar (7 shared papers)Megha Sharma (5 shared papers)Varsha Gupta (7 shared papers)Jagdish Chander (6 shared papers)Prabhu B. Patil (8 shared papers)Prashant P. Patil (5 shared papers)
- Journals
- The Indian Journal of Medical Research (4 papers)Infectious Disorders - Drug Targets (4 papers)Infection Genetics and Evolution (2 papers)Microbial Drug Resistance (2 papers)Expert Review of Anti-infective Therapy (1 paper)
- Partner nations
- IndiaNetherlandsCzechia
In The Last Decade
Lipika Singhal
32 papers receiving 439 citations
Peers
Comparison fields: 5 of 70
- Molecular Medicine 173
- Endocrinology 176
- Applied Microbiology and Biotechnology 32
- Clinical Biochemistry 47
- Infectious Diseases 95
Countries citing papers authored by Lipika Singhal
This map shows the geographic impact of Lipika 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 Lipika Singhal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lipika Singhal more than expected).
Fields of papers citing papers by Lipika Singhal
This network shows the impact of papers produced by Lipika 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 Lipika Singhal. The network helps show where Lipika Singhal may publish in the future.
Co-authors
The 25 scholars most cited alongside Lipika 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 80 | |
| 2 | 2014 | 36 | |
| 3 | 2018 | 36 | |
| 4 | 2017 | 33 | |
| 5 | 2019 | 31 | |
| 6 | 2017 | 31 | |
| 7 | 2018 | 26 | |
| 8 | 2013 | 21 | |
| 9 | 2023 | 19 | |
| 10 | 2015 | 19 | |
| 11 | 2020 | 14 | |
| 12 | 2017 | 14 | |
| 13 | 2017 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2011 | 8 | |
| 17 | 2013 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 2023 | 5 |
About Lipika Singhal
Lipika Singhal is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 450 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (16 papers), Bacterial biofilms and quorum sensing (9 papers), Bacterial Identification and Susceptibility Testing (8 papers), Infections and bacterial resistance (8 papers), Cystic Fibrosis Research Advances (7 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Plant Pathogenic Bacteria Studies (5 papers) and Vibrio bacteria research studies (5 papers). The work is most often cited by research in Molecular Medicine (173 citations), Endocrinology (176 citations), Applied Microbiology and Biotechnology (32 citations), Clinical Biochemistry (47 citations) and Infectious Diseases (95 citations). Lipika Singhal has collaborated with scholars based in India, Netherlands and Czechia. Frequent co-authors include Vikas Gautam, Pallab Ray, Sunil Kumar, Megha Sharma, Varsha Gupta, Jagdish Chander, Prabhu B. Patil, Prashant P. Patil, Puneet Kumar Gupta and Pratibha Kale. Their work appears in journals such as The Indian Journal of Medical Research, Infectious Disorders - Drug Targets, Infection Genetics and Evolution, Microbial Drug Resistance and Expert Review of Anti-infective Therapy.
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.