Mao‐Ning Tuanmu

8.9k citations
39 papers · 2.8k indexed · 1 hit paper · h-index 24
Topics
Species Distribution and Climate Change (22 papers)Wildlife Ecology and Conservation (11 papers)Ecology and Vegetation Dynamics Studies (11 papers)

In The Last Decade

Mao‐Ning Tuanmu

37 papers receiving 2.7k citations

Hit Papers

A suite of global, cross-scale topographic variables for ...20182026202020232018100200300400500

Peers

Mao‐Ning Tuanmu
Comparison fields: 5 of 125
  • Ecology 1.5k
  • Ecological Modeling 1.2k
  • Global and Planetary Change 1000
  • Nature and Landscape Conservation 931
  • Ecology, Evolution, Behavior and Systematics 426
Replace T.A. Groen with:
T.A. Groen Netherlands
Babak Naimi Iran
Lisa Venier Canada
Thomas W. Gillespie United States
Neftalí Sillero Portugal
Martin Wegmann Germany
Anna M. Pidgeon United States
Emilio Padoa‐Schioppa Italy
Wendy Foden South Africa
Wayne E. Thogmartin United States
Mao‐Ning Tuanmu relative to T.A. Groen Netherlands T.A. Groen's profile →
Citations per field
00.5×1.5×1.8×
T.A. Groen · 1×
Citations per year

Countries citing papers authored by Mao‐Ning Tuanmu

Since Specialization
Citations

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

Fields of papers citing papers by Mao‐Ning Tuanmu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mao‐Ning Tuanmu. 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 Mao‐Ning Tuanmu. The network helps show where Mao‐Ning Tuanmu may publish in the future.

Co-authorship network of co-authors of Mao‐Ning Tuanmu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 0
4 1
5 5
6 8
7 38
8 1
9 9
10 16
11 12
12 7
13 24
14 7
15 49
16
A suite of global, cross-scale topographic variables for environmental and biodiversity modelingbreakdown →
534
17 28
18 32
19 64
20 104

About Mao‐Ning Tuanmu

Mao‐Ning Tuanmu is a scholar working on Ecological Modeling, Developmental Biology and Ecology, having authored 39 papers that have together received 2.8k indexed citations. Recurring topics across this work include Species Distribution and Climate Change (22 papers), Wildlife Ecology and Conservation (11 papers) and Ecology and Vegetation Dynamics Studies (11 papers). The work is most often cited by research in Ecological Modeling (1.2k citations), Nature and Landscape Conservation (931 citations) and Ecology (1.5k citations). Mao‐Ning Tuanmu has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Walter Jetz, Jianguo Liu, Andrés Viña, Benoît Parmentier, Ajay Ranipeta, Giuseppe Amatulli, Sami Domisch, Jeremy Malczyk, Zhiyun Ouyang and Bethany A. Bradley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

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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