Shikha Jain
- Materials Chemistry
- Biomedical Engineering top 10%
- Inorganic Chemistry top 5%
- Molecular Biology
- Electrical and Electronic Engineering
- Co-authors
- Neeraj DilbaghiSandeep KumarMonika NehraKi‐Hyun KimGiovanna MarrazzaAjeet KaushikAkhil AgrawalRajesh Kumar
- Topics
- Enhanced Oil Recovery Techniques (7 papers)Trypanosoma species research and implications (7 papers)Advanced biosensing and bioanalysis techniques (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Applied PhysicsApplied and Environmental Microbiology
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Shikha Jain
52 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Materials Chemistry 333
- Biomedical Engineering 273
- Inorganic Chemistry 260
- Molecular Biology 254
- Electrical and Electronic Engineering 148
Countries citing papers authored by Shikha Jain
This map shows the geographic impact of Shikha Jain'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 Shikha Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shikha Jain more than expected).
Fields of papers citing papers by Shikha Jain
This network shows the impact of papers produced by Shikha Jain. 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 Shikha Jain. The network helps show where Shikha Jain may publish in the future.
Co-authorship network of co-authors of Shikha Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Shikha Jain. A scholar is included among the top collaborators of Shikha Jain 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 Shikha Jain. Shikha Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 14 | |
| 7 | 4 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseasesbreakdown → | 251 |
| 11 | 9 | |
| 12 | 9 | |
| 13 | 45 | |
| 14 | 35 | |
| 15 | 14 | |
| 16 | 10 | |
| 17 | 2 | |
| 18 | 21 | |
| 19 | 8 | |
| 20 | Hemagglutinin (H) gene of canine distemper virus cloned in pTargeT mammalian expression vector induces neutralizing antibody response in dogs. | 1 |
About Shikha Jain
Shikha Jain is a scholar working on Small Animals, Electrochemistry and Ocean Engineering, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Enhanced Oil Recovery Techniques (7 papers), Trypanosoma species research and implications (7 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Inorganic Chemistry (260 citations), Small Animals (57 citations) and Materials Chemistry (333 citations). Shikha Jain has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Neeraj Dilbaghi, Sandeep Kumar, Monika Nehra, Ki‐Hyun Kim, Giovanna Marrazza, Ajeet Kaushik, Akhil Agrawal, Rajesh Kumar, Tony Hu and Chen-Zhong Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Applied and Environmental Microbiology.
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.