Kunnika Naklang
- Plant Science top 10%
- Soil Science top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Agronomy and Crop Science top 10%
- Environmental Chemistry top 10%
- Co-authors
- S. FukaiRod LefroyGraeme BlairYothin KonboonAnthony WhitbreadLen J. WadeDome HarnpichitvitayaS. T. Amarante
- Topics
- Rice Cultivation and Yield Improvement (8 papers)Soil Carbon and Nitrogen Dynamics (7 papers)Agricultural Science and Fertilization (4 papers)
- Partner nations
- AustraliaThailandPhilippines
In The Last Decade
Kunnika Naklang
14 papers receiving 482 citations
Peers
Comparison fields: 5 of 55
- Plant Science 355
- Soil Science 269
- Ecology, Evolution, Behavior and Systematics 104
- Agronomy and Crop Science 70
- Environmental Chemistry 68
Countries citing papers authored by Kunnika Naklang
This map shows the geographic impact of Kunnika Naklang'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 Kunnika Naklang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunnika Naklang more than expected).
Fields of papers citing papers by Kunnika Naklang
This network shows the impact of papers produced by Kunnika Naklang. 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 Kunnika Naklang. The network helps show where Kunnika Naklang may publish in the future.
Co-authorship network of co-authors of Kunnika Naklang
This figure shows the co-authorship network connecting the top 25 collaborators of Kunnika Naklang. A scholar is included among the top collaborators of Kunnika Naklang 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 Kunnika Naklang. Kunnika Naklang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Sequestering soil carbon in the low input farming systems of the semi-arid tropics – does litter quality matter? | 1 |
| 2 | 19 | |
| 3 | 26 | |
| 4 | 72 | |
| 5 | 101 | |
| 6 | 29 | |
| 7 | 42 | |
| 8 | Equations for Calculating N-Fertilizer Rates for Khaw Dauk Mali-105 Rice from Soil Analysis | 3 |
| 9 | 32 | |
| 10 | 84 | |
| 11 | 63 | |
| 12 | 43 | |
| 13 | 8 | |
| 14 | 3 |
About Kunnika Naklang
Kunnika Naklang is a scholar working on Soil Science, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 526 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (8 papers), Soil Carbon and Nitrogen Dynamics (7 papers) and Agricultural Science and Fertilization (4 papers). The work is most often cited by research in Soil Science (269 citations), Plant Science (355 citations) and Agronomy and Crop Science (70 citations). Kunnika Naklang has collaborated with scholars based in Australia, Thailand and Philippines. Frequent co-authors include S. Fukai, Rod Lefroy, Graeme Blair, Yothin Konboon, Anthony Whitbread, Len J. Wade, Dome Harnpichitvitaya, S. T. Amarante, Stephan M. Haefele and S. Rajatasereekul. Their work appears in journals such as Plant and Soil, Agriculture Ecosystems & Environment and Field Crops Research.
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.