Hania Lada
- Ecological Modeling top 5%
- Species Distribution and Climate Change 9
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- Ecology and Vegetation Dynamics Studies 4
- Ecology top 10%
- Wildlife Ecology and Conservation 13
- Aquatic Invertebrate Ecology and Behavior 3
- Environmental DNA in Biodiversity Studies 3
- Global and Planetary Change top 10%
- Amphibian and Reptile Biology 3
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- Genetic diversity and population structure 5
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- Forest Ecology and Biodiversity Studies 2
- Co-authors
- Ralph Mac NallyAndrea C. TaylorJames R. ThomsonShaun C. CunninghamGregory HorrocksRohan H. ClarkeDouglas J. HiltonGeoffrey J. Lindeman
- Journals
- Genes & Development (1 paper)PLoS ONE (1 paper)The Science of The Total Environment (2 papers)
- Partner nations
- AustraliaUnited States
In The Last Decade
Hania Lada
25 papers receiving 428 citations
Peers
Comparison fields: 5 of 74
- Ecological Modeling 112
- Nature and Landscape Conservation 111
- Ecology 221
- Global and Planetary Change 118
- Genetics 98
Countries citing papers authored by Hania Lada
This map shows the geographic impact of Hania Lada'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 Hania Lada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hania Lada more than expected).
Fields of papers citing papers by Hania Lada
This network shows the impact of papers produced by Hania Lada. 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 Hania Lada. The network helps show where Hania Lada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hania Lada, 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 | 2022 | 3 | |
| 2 | 2020 | 2 | |
| 3 | 2019 | 7 | |
| 4 | 2017 | 18 | |
| 5 | 2016 | 2 | |
| 6 | 2016 | 5 | |
| 7 | 2015 | 27 | |
| 8 | 2014 | 4 | |
| 9 | 2013 | 26 | |
| 10 | 2013 | 20 | |
| 11 | 2010 | 10 | |
| 12 | 2009 | 37 | |
| 13 | 2009 | 1 | |
| 14 | 2008 | 9 | |
| 15 | 2008 | 14 | |
| 16 | 2007 | 15 | |
| 17 | 2007 | 27 | |
| 18 | 2004 | 18 | |
| 19 | 2001 | 83 | |
| 20 | 2000 | 23 |
About Hania Lada
Hania Lada is a scholar working on Ecological Modeling, Ecology and Nature and Landscape Conservation, having authored 25 papers that have together received 442 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (13 papers), Species Distribution and Climate Change (9 papers), Genetic diversity and population structure (5 papers), Ecology and Vegetation Dynamics Studies (4 papers), Aquatic Invertebrate Ecology and Behavior (3 papers), Environmental DNA in Biodiversity Studies (3 papers), Amphibian and Reptile Biology (3 papers) and Forest Ecology and Biodiversity Studies (2 papers). The work is most often cited by research in Ecological Modeling (112 citations), Nature and Landscape Conservation (111 citations) and Ecology (221 citations). Hania Lada has collaborated with scholars based in Australia and United States. Frequent co-authors include Ralph Mac Nally, Andrea C. Taylor, James R. Thomson, Shaun C. Cunningham, Gregory Horrocks, Rohan H. Clarke, Douglas J. Hilton, Geoffrey J. Lindeman, Jian‐Guo Zhang and Robyn Starr. Their work appears in journals such as Genes & Development, PLoS ONE and The Science of The Total Environment.
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.