T. B. Moya

23 total papers · 503 total citations
12 papers, 370 citations indexed

About

T. B. Moya is a scholar working on Plant Science, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, T. B. Moya has authored 12 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 4 papers in Global and Planetary Change and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in T. B. Moya's work include Rice Cultivation and Yield Improvement (3 papers), Climate variability and models (3 papers) and Plant responses to elevated CO2 (3 papers). T. B. Moya is often cited by papers focused on Rice Cultivation and Yield Improvement (3 papers), Climate variability and models (3 papers) and Plant responses to elevated CO2 (3 papers). T. B. Moya collaborates with scholars based in Philippines, United States and Hungary. T. B. Moya's co-authors include J. C. O’Toole, Lewis H. Ziska, Reiner Waßmann, H. U. Neue, R. S. Lantin, David M. Olszyk, O.S. Namuco, J. B. Aduna, K. F. Bronson and Ben S. Malayang and has published in prestigious journals such as Global Change Biology, Plant and Soil and Field Crops Research.

In The Last Decade

T. B. Moya

11 papers receiving 337 citations

Author Peers

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

Author Last Decade Papers Cites
T. B. Moya 283 143 94 60 54 12 370
K. Kreeb 230 0.8× 152 1.1× 64 0.7× 30 0.5× 75 1.4× 22 415
Isabella Bettarini 296 1.0× 150 1.0× 133 1.4× 32 0.5× 73 1.4× 18 387
Leanne M. Jablonski 367 1.3× 136 1.0× 182 1.9× 44 0.7× 79 1.5× 8 438
W. R. Watts 328 1.2× 224 1.6× 55 0.6× 50 0.8× 36 0.7× 11 439
Julia Wiesenbauer 263 0.9× 156 1.1× 64 0.7× 87 1.4× 46 0.9× 13 422
R. Pamplona 232 0.8× 86 0.6× 50 0.5× 104 1.7× 40 0.7× 9 332
Ayumi Tanaka‐Oda 140 0.5× 219 1.5× 66 0.7× 41 0.7× 75 1.4× 21 428
Raymond Dempsey 146 0.5× 193 1.3× 106 1.1× 43 0.7× 19 0.4× 10 360
Dieter Ramseier 213 0.8× 164 1.1× 57 0.6× 22 0.4× 81 1.5× 13 390
Alem Gebremedhin 312 1.1× 177 1.2× 50 0.5× 37 0.6× 16 0.3× 9 439

Countries citing papers authored by T. B. Moya

Since Specialization
Citations

This map shows the geographic impact of T. B. Moya'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 T. B. Moya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. B. Moya more than expected).

Fields of papers citing papers by T. B. Moya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. B. Moya. 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 T. B. Moya. The network helps show where T. B. Moya may publish in the future.

Co-authorship network of co-authors of T. B. Moya

This figure shows the co-authorship network connecting the top 25 collaborators of T. B. Moya. A scholar is included among the top collaborators of T. B. Moya 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 T. B. Moya. T. B. Moya 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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