Tasnuva Ming Khan
- Ecological Modeling top 5%
- Ecology
- Nature and Landscape Conservation top 10%
- Global and Planetary Change
- Ecology, Evolution, Behavior and Systematics
- Co-authors
- Aline M. GhilardiEmma M. DunnePaulina NätscherDevapriya ChattopadhyayNussaïbah B. RajaJeff PriceMark J. CostelloStella Manes
- Topics
- Ethics in Clinical Research (1 paper)Marine animal studies overview (1 paper)Turtle Biology and Conservation (1 paper)
- Journals
- SHILAP Revista de lepidopterologíaBiological ConservationNature Ecology & Evolution
- Partner nations
- United KingdomGermanyNew Zealand
In The Last Decade
Tasnuva Ming Khan
5 papers receiving 330 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Ecological Modeling 130
- Ecology 110
- Nature and Landscape Conservation 100
- Global and Planetary Change 79
- Ecology, Evolution, Behavior and Systematics 62
Countries citing papers authored by Tasnuva Ming Khan
This map shows the geographic impact of Tasnuva Ming Khan'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 Tasnuva Ming Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tasnuva Ming Khan more than expected).
Fields of papers citing papers by Tasnuva Ming Khan
This network shows the impact of papers produced by Tasnuva Ming Khan. 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 Tasnuva Ming Khan. The network helps show where Tasnuva Ming Khan may publish in the future.
Co-authorship network of co-authors of Tasnuva Ming Khan
This figure shows the co-authorship network connecting the top 25 collaborators of Tasnuva Ming Khan. A scholar is included among the top collaborators of Tasnuva Ming Khan 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 Tasnuva Ming Khan. Tasnuva Ming Khan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Colonial history and global economics distort our understanding of deep-time biodiversitybreakdown → | 136 |
| 3 | Endemism increases species' climate change risk in areas of global biodiversity importancebreakdown → | 185 |
| 4 | 13 | |
| 5 | 5 |
About Tasnuva Ming Khan
Tasnuva Ming Khan is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Paleontology, having authored 5 papers that have together received 340 indexed citations. Recurring topics across this work include Ethics in Clinical Research (1 paper), Marine animal studies overview (1 paper) and Turtle Biology and Conservation (1 paper). The work is most often cited by research in Ecological Modeling (130 citations), Nature and Landscape Conservation (100 citations) and Paleontology (55 citations). Tasnuva Ming Khan has collaborated with scholars based in United Kingdom, Germany and New Zealand. Frequent co-authors include Aline M. Ghilardi, Emma M. Dunne, Paulina Nätscher, Devapriya Chattopadhyay, Nussaïbah B. Raja, Jeff Price, Mark J. Costello, Stella Manes, Heath Beckett and Mariana M. Vale. Their work appears in journals such as SHILAP Revista de lepidopterología, Biological Conservation and Nature Ecology & Evolution.
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.