Apurbo Kumar Chaki
- Plant Science top 10%
- Soil Science top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Agronomy and Crop Science top 10%
- Genetics
- Co-authors
- Akbar HossainDonald S. GaydonSukamal SarkarMarián BrestičMd. Ashraful AlamMd. Abu SyedSagar MaitraAyman El Sabagh
- Topics
- Rice Cultivation and Yield Improvement (17 papers)Plant responses to water stress (8 papers)Agricultural Science and Fertilization (6 papers)
- Partner nations
- BangladeshAustraliaSaudi Arabia
In The Last Decade
Apurbo Kumar Chaki
26 papers receiving 367 citations
Peers
Comparison fields: 5 of 49
- Plant Science 298
- Soil Science 95
- Ecology, Evolution, Behavior and Systematics 87
- Agronomy and Crop Science 73
- Genetics 23
Countries citing papers authored by Apurbo Kumar Chaki
This map shows the geographic impact of Apurbo Kumar Chaki'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 Apurbo Kumar Chaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Apurbo Kumar Chaki more than expected).
Fields of papers citing papers by Apurbo Kumar Chaki
This network shows the impact of papers produced by Apurbo Kumar Chaki. 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 Apurbo Kumar Chaki. The network helps show where Apurbo Kumar Chaki may publish in the future.
Co-authorship network of co-authors of Apurbo Kumar Chaki
This figure shows the co-authorship network connecting the top 25 collaborators of Apurbo Kumar Chaki. A scholar is included among the top collaborators of Apurbo Kumar Chaki 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 Apurbo Kumar Chaki. Apurbo Kumar Chaki 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 | 3 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 13 | |
| 12 | 138 | |
| 13 | 24 | |
| 14 | 27 | |
| 15 | 13 | |
| 16 | 26 | |
| 17 | 22 | |
| 18 | Genetic diversity in snake gourd genotypes revealed by RAPD markers | 3 |
| 19 | 2 | |
| 20 | Photoperiod-insensitive mutants with shorter plant height identified in the M1 generation of rice irradiated with carbon ion beams. | 0 |
About Apurbo Kumar Chaki
Apurbo Kumar Chaki is a scholar working on Soil Science, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 27 papers that have together received 377 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (17 papers), Plant responses to water stress (8 papers) and Agricultural Science and Fertilization (6 papers). The work is most often cited by research in Soil Science (95 citations), Plant Science (298 citations) and Agronomy and Crop Science (73 citations). Apurbo Kumar Chaki has collaborated with scholars based in Bangladesh, Australia and Saudi Arabia. Frequent co-authors include Akbar Hossain, Donald S. Gaydon, Sukamal Sarkar, Marián Brestič, Md. Ashraful Alam, Md. Abu Syed, Sagar Maitra, Ayman El Sabagh, Tanmoy Shankar and Milan Skalický. Their work appears in journals such as Sustainability, Field Crops Research and Environmental Modelling & Software.
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.