Mary Piper
Impact in
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
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- Vector-Borne Animal Diseases
Papers in
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- Viral Infections and Vectors 5
- Viral Infections and Outbreaks Research 3
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- Single-cell and spatial transcriptomics 1
- Co-authors
- Sonja R. Gerrard (4 shared papers)Janet L. Smith (2 shared papers)D.D. Raymond (2 shared papers)Dorothy R. Sorenson (1 shared paper)Georgios Skiniotis (1 shared paper)Jack Preiss (1 shared paper)Miguel A. Ballícora (1 shared paper)Tian Lian Huang (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)eLife (2 papers)Endocrinology (1 paper)PLoS Biology (1 paper)Journal of Cachexia Sarcopenia and Muscle (1 paper)
- Partner nations
- United StatesHong KongRussia
In The Last Decade
Mary Piper
14 papers receiving 439 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 197
- Ecology, Evolution, Behavior and Systematics 112
- Endocrine and Autonomic Systems 26
- Aging 6
- Endocrinology 17
Countries citing papers authored by Mary Piper
This map shows the geographic impact of Mary Piper'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 Mary Piper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Piper more than expected).
Fields of papers citing papers by Mary Piper
This network shows the impact of papers produced by Mary Piper. 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 Mary Piper. The network helps show where Mary Piper may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary Piper, 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 | 2010 | 113 | |
| 2 | 2012 | 77 | |
| 3 | 2021 | 71 | |
| 4 | 2011 | 49 | |
| 5 | 2021 | 43 | |
| 6 | 2003 | 43 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 11 | |
| 9 | 2010 | 9 | |
| 10 | 2025 | 5 | |
| 11 | Supporting Single Cell RNA-seq Analysis at Harvard - A Community Approach | 2019 | 1 |
| 12 | The Rift Valley Fever Virus Replicative Cycle | 2010 | 1 |
| 13 | 2023 | 1 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 |
About Mary Piper
Mary Piper is a scholar working on Infectious Diseases, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 449 indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), Vector-Borne Animal Diseases (4 papers), Fire effects on ecosystems (3 papers), Viral Infections and Outbreaks Research (3 papers), Birth, Development, and Health (2 papers), Adipose Tissue and Metabolism (2 papers), Single-cell and spatial transcriptomics (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Infectious Diseases (197 citations), Ecology, Evolution, Behavior and Systematics (112 citations), Endocrine and Autonomic Systems (26 citations), Aging (6 citations) and Endocrinology (17 citations). Mary Piper has collaborated with scholars based in United States, Hong Kong and Russia. Frequent co-authors include Sonja R. Gerrard, Janet L. Smith, D.D. Raymond, Dorothy R. Sorenson, Georgios Skiniotis, Jack Preiss, Miguel A. Ballícora, Tian Lian Huang, Farnaz Shamsi and Aaron Streets. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, Endocrinology, PLoS Biology and Journal of Cachexia Sarcopenia and Muscle.
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.