Neelu Jain
- Plant Science top 2%
- Genetics top 5%
- Agronomy and Crop Science top 5%
- Molecular Biology
- Artificial Intelligence
- Co-authors
- P. K. SinghSunita JainNavinder SainiK. V. PrabhuRajinder K. JainHari KrishnaJavaid Akhter BhatSutapa Dutta
- Topics
- Wheat and Barley Genetics and Pathology (51 papers)Genetics and Plant Breeding (40 papers)Crop Yield and Soil Fertility (18 papers)
- Journals
- PLoS ONEScientific ReportsNanoscale
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Neelu Jain
114 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Plant Science 1.0k
- Genetics 359
- Agronomy and Crop Science 171
- Molecular Biology 154
- Artificial Intelligence 59
Countries citing papers authored by Neelu Jain
This map shows the geographic impact of Neelu 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 Neelu Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neelu Jain more than expected).
Fields of papers citing papers by Neelu Jain
This network shows the impact of papers produced by Neelu 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 Neelu Jain. The network helps show where Neelu Jain may publish in the future.
Co-authorship network of co-authors of Neelu Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Neelu Jain. A scholar is included among the top collaborators of Neelu 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 Neelu Jain. Neelu 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 | 7 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 31 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | Characterization of grain iron and zinc in lentil (Lens culinaris Medikus culinaris) and analysis of their genetic diversity using SSR markers. | 19 |
| 14 | 17 | |
| 15 | 0 | |
| 16 | Distribution of alleles of grain quality genes in Indian bread wheat varieties | 3 |
| 17 | Distribution of Rht genes and their effects on coleoptile length and height in wheat (Triticum aestivum). | 1 |
| 18 | Genetics of white rust resistance in [Brassica juncea (L.) Czern. & Coss.] and allelic relationship between interspecific sources of resistance. | 6 |
| 19 | Effect of growth retardants and pinching on growth and yield of African marigold (Tagetes erecta L.) | 7 |
| 20 | Nitrogen requirement of indian mustard (Brassica juncea) under different crop sequences | 1 |
About Neelu Jain
Neelu Jain is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science, having authored 120 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wheat and Barley Genetics and Pathology (51 papers), Genetics and Plant Breeding (40 papers) and Crop Yield and Soil Fertility (18 papers). The work is most often cited by research in Plant Science (1.0k citations), Agronomy and Crop Science (171 citations) and Genetics (359 citations). Neelu Jain has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include P. K. Singh, Sunita Jain, Navinder Saini, K. V. Prabhu, Rajinder K. Jain, K. V. Prabhu, Hari Krishna, Javaid Akhter Bhat, Sutapa Dutta and Muntazir Mushtaq. Their work appears in journals such as PLoS ONE, Scientific Reports and Nanoscale.
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.