Jane‐Ling Wang
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Statistics and Probability top 1%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Advanced Causal Inference Techniques
Papers in
-
- Statistical Methods and Inference 5
- Statistical Methods and Bayesian Inference 3
- Statistical Distribution Estimation and Applications 3
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- Insect behavior and control techniques 6
- Insect Utilization and Effects 4
- Insect-Plant Interactions and Control 3
- Co-authors
- Hans‐Georg Müller (10 shared papers)James R. Carey (9 shared papers)Fushing Hsieh (1 shared paper)Yi‐Kuan Tseng (1 shared paper)Pablo Liedo (5 shared papers)Lawrence G. Harshman (3 shared papers)Ying Zhang (2 shared papers)Zhen Zhang (1 shared paper)
- Journals
- Aging Cell (5 papers)Biometrics (3 papers)Human Brain Mapping (2 papers)Entomologia Experimentalis et Applicata (2 papers)Statistics in Medicine (1 paper)
- Partner nations
- United StatesMexicoUnited Kingdom
In The Last Decade
Jane‐Ling Wang
18 papers receiving 925 citations
Peers
Comparison fields: 5 of 114
- Aging 135
- Statistics and Probability 297
- Insect Science 210
- Ecology, Evolution, Behavior and Systematics 106
- Endocrine and Autonomic Systems 28
Countries citing papers authored by Jane‐Ling Wang
This map shows the geographic impact of Jane‐Ling Wang'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 Jane‐Ling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane‐Ling Wang more than expected).
Fields of papers citing papers by Jane‐Ling Wang
This network shows the impact of papers produced by Jane‐Ling Wang. 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 Jane‐Ling Wang. The network helps show where Jane‐Ling Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane‐Ling Wang, 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 | 1994 | 234 | |
| 2 | 2006 | 143 | |
| 3 | 2008 | 109 | |
| 4 | 2002 | 98 | |
| 5 | 2007 | 67 | |
| 6 | 2004 | 53 | |
| 7 | 2008 | 43 | |
| 8 | 2011 | 35 | |
| 9 | 2019 | 35 | |
| 10 | 2004 | 27 | |
| 11 | 2008 | 23 | |
| 12 | 2008 | 21 | |
| 13 | 1999 | 18 | |
| 14 | 2009 | 16 | |
| 15 | 2015 | 14 | |
| 16 | 2001 | 13 | |
| 17 | 2023 | 7 | |
| 18 | 1990 | 2 |
About Jane‐Ling Wang
Jane‐Ling Wang is a scholar working on Statistics and Probability, Insect Science, Aging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience, having authored 18 papers that have together received 958 indexed citations. Recurring topics across this work include Insect behavior and control techniques (6 papers), Statistical Methods and Inference (5 papers), Insect Utilization and Effects (4 papers), Statistical Methods and Bayesian Inference (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Statistical Distribution Estimation and Applications (3 papers), Insect-Plant Interactions and Control (3 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Aging (135 citations), Statistics and Probability (297 citations), Insect Science (210 citations), Ecology, Evolution, Behavior and Systematics (106 citations) and Endocrine and Autonomic Systems (28 citations). Jane‐Ling Wang has collaborated with scholars based in United States, Mexico and United Kingdom. Frequent co-authors include Hans‐Georg Müller, James R. Carey, Fushing Hsieh, Yi‐Kuan Tseng, Pablo Liedo, Lawrence G. Harshman, Ying Zhang, Zhen Zhang, Linda Partridge and Nikos T. Papadopoulos. Their work appears in journals such as Aging Cell, Biometrics, Human Brain Mapping, Entomologia Experimentalis et Applicata and Statistics in Medicine.
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.