Fred Tuh
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
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- Ecology and Vegetation Dynamics Studies
Papers in
-
- Species Distribution and Climate Change 3
- Ecology 5
- Wildlife Ecology and Conservation 2
- Parasite Biology and Host Interactions 1
- Avian ecology and behavior 1
- Co-authors
- Konstans Wells (5 shared papers)Miguel Camacho‐Sanchez (2 shared papers)Jennifer A. Leonard (2 shared papers)Thomas E. Martin (1 shared paper)Jesús Eduardo Maldonado (1 shared paper)Melissa T. R. Hawkins (1 shared paper)Giovanni C. Forcina (1 shared paper)Sacramento Moreno (1 shared paper)
- Journals
- Royal Society Open Science (1 paper)Heliyon (1 paper)Nature (1 paper)Diversity and Distributions (1 paper)Molecular Ecology (1 paper)
- Partner nations
- MalaysiaUnited KingdomSpain
In The Last Decade
Fred Tuh
9 papers receiving 308 citations
Peers
Comparison fields: 5 of 45
- Ecological Modeling 90
- Nature and Landscape Conservation 111
- Ecology, Evolution, Behavior and Systematics 143
- Paleontology 40
- Ecology 88
Countries citing papers authored by Fred Tuh
This map shows the geographic impact of Fred Tuh'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 Fred Tuh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Tuh more than expected).
Fields of papers citing papers by Fred Tuh
This network shows the impact of papers produced by Fred Tuh. 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 Fred Tuh. The network helps show where Fred Tuh may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Tuh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 243 | |
| 2 | 2018 | 24 | |
| 3 | 2020 | 12 | |
| 4 | 2017 | 11 | |
| 5 | 2021 | 8 | |
| 6 | 2023 | 7 | |
| 7 | 2019 | 4 | |
| 8 | 2020 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2025 | 0 |
About Fred Tuh
Fred Tuh is a scholar working on Ecological Modeling, Ecology, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Genetics, having authored 10 papers that have together received 314 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (3 papers), Genetic diversity and population structure (2 papers), Primate Behavior and Ecology (2 papers), Wildlife Ecology and Conservation (2 papers), Plant and animal studies (1 paper), Adipose Tissue and Metabolism (1 paper), Parasite Biology and Host Interactions (1 paper) and Avian ecology and behavior (1 paper). The work is most often cited by research in Ecological Modeling (90 citations), Nature and Landscape Conservation (111 citations), Ecology, Evolution, Behavior and Systematics (143 citations), Paleontology (40 citations) and Ecology (88 citations). Fred Tuh has collaborated with scholars based in Malaysia, United Kingdom and Spain. Frequent co-authors include Konstans Wells, Miguel Camacho‐Sanchez, Jennifer A. Leonard, Thomas E. Martin, Jesús Eduardo Maldonado, Melissa T. R. Hawkins, Giovanni C. Forcina, Sacramento Moreno, Maklarin Lakim and Andreas Nitsche. Their work appears in journals such as Royal Society Open Science, Heliyon, Nature, Diversity and Distributions and Molecular Ecology.
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.