Dheeraj Verma
- Molecular Biology top 10%
- Biotechnology top 0.5%
- Plant Science top 10%
- Immunology
- Biomedical Engineering
- Co-authors
- Henry DaniellNameirakpam D. SinghAnderson KanagarajShuangxia JinTracey A. RuhlmanRoland W. HerzogKwang‐Chul KwonXiangdong Yang
- Topics
- Transgenic Plants and Applications (10 papers)Plant tissue culture and regeneration (5 papers)CRISPR and Genetic Engineering (4 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Dheeraj Verma
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.0k
- Biotechnology 649
- Plant Science 327
- Immunology 133
- Biomedical Engineering 121
Countries citing papers authored by Dheeraj Verma
This map shows the geographic impact of Dheeraj Verma'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 Dheeraj Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dheeraj Verma more than expected).
Fields of papers citing papers by Dheeraj Verma
This network shows the impact of papers produced by Dheeraj Verma. 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 Dheeraj Verma. The network helps show where Dheeraj Verma may publish in the future.
Co-authorship network of co-authors of Dheeraj Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Dheeraj Verma. A scholar is included among the top collaborators of Dheeraj Verma 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 Dheeraj Verma. Dheeraj Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | Hooked on Smartphones: Smartphone Usage Pattern and Related Health Risks among Medical Students in a Tertiary Centre at Kolkata - | 1 |
| 6 | 34 | |
| 7 | 33 | |
| 8 | 161 | |
| 9 | 62 | |
| 10 | 111 | |
| 11 | 2 | |
| 12 | 41 | |
| 13 | 47 | |
| 14 | 98 | |
| 15 | 81 | |
| 16 | 175 | |
| 17 | 127 | |
| 18 | 119 | |
| 19 | 191 | |
| 20 | 8 |
About Dheeraj Verma
Dheeraj Verma is a scholar working on Biotechnology, Endocrinology and Molecular Biology, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Transgenic Plants and Applications (10 papers), Plant tissue culture and regeneration (5 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Biotechnology (649 citations), Molecular Biology (1.0k citations) and Plant Science (327 citations). Dheeraj Verma has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Henry Daniell, Nameirakpam D. Singh, Anderson Kanagaraj, Shuangxia Jin, Tracey A. Ruhlman, Roland W. Herzog, Kwang‐Chul Kwon, Xiangdong Yang, Priya Saikumar Lakshmi and Vijay Koya. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.
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.