Risu Na

55 total papers · 543 total citations
30 papers, 389 citations indexed

About

Risu Na is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Risu Na has authored 30 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 11 papers in Ecology and 11 papers in Atmospheric Science. Recurrent topics in Risu Na's work include Plant Water Relations and Carbon Dynamics (6 papers), Remote Sensing in Agriculture (5 papers) and Rangeland Management and Livestock Ecology (4 papers). Risu Na is often cited by papers focused on Plant Water Relations and Carbon Dynamics (6 papers), Remote Sensing in Agriculture (5 papers) and Rangeland Management and Livestock Ecology (4 papers). Risu Na collaborates with scholars based in China, United States and Switzerland. Risu Na's co-authors include Li Na, Hong S. He, Shan Yin, Jiquan Zhang, Haibo Du, Shengwei Zong, Yue Yang, Chu Zhang, Susu Zhu and Na Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Risu Na

23 papers receiving 385 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Risu Na	173	153	78	74	61	30	389
R. P. D. Ferraz	185 1.1×	267 1.7×	49 0.6×	104 1.4×	73 1.2×	20	421
Fernando Saragosa Rossi	202 1.2×	175 1.1×	33 0.4×	88 1.2×	55 0.9×	38	401
Jiabin Liu	132 0.8×	140 0.9×	250 3.2×	74 1.0×	77 1.3×	21	446
Shangshi Liu	64 0.4×	163 1.1×	201 2.6×	91 1.2×	42 0.7×	17	434
Weihang Liu	129 0.7×	80 0.5×	42 0.5×	77 1.0×	65 1.1×	35	390
Andreas Schaumberger	159 0.9×	104 0.7×	78 1.0×	105 1.4×	50 0.8×	38	413
Veronique V. Cheret	262 1.5×	295 1.9×	34 0.4×	85 1.1×	60 1.0×	19	441
Haijun Li	62 0.4×	120 0.8×	32 0.4×	157 2.1×	45 0.7×	26	350
Shoubao Geng	185 1.1×	128 0.8×	66 0.8×	48 0.6×	57 0.9×	25	364
Margareth Simões Penello Meirelles	160 0.9×	226 1.5×	55 0.7×	78 1.1×	62 1.0×	22	369

Countries citing papers authored by Risu Na

Since Specialization

Citations

This map shows the geographic impact of Risu Na'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 Risu Na with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Risu Na more than expected).

Fields of papers citing papers by Risu Na

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Risu Na. 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 Risu Na. The network helps show where Risu Na may publish in the future.

Co-authorship network of co-authors of Risu Na

This figure shows the co-authorship network connecting the top 25 collaborators of Risu Na. A scholar is included among the top collaborators of Risu Na 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 Risu Na. Risu Na is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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