Jennifer Mathews

895 citations
18 papers · 711 indexed · h-index 13
Topics
Salmonella and Campylobacter epidemiology (3 papers)Antibiotic Resistance in Bacteria (3 papers)LGBTQ Health, Identity, and Policy (3 papers)
Journals
ScienceJournal of NeuroscienceSHILAP Revista de lepidopterología
Partner nations
United States

In The Last Decade

Jennifer Mathews

18 papers receiving 689 citations

Peers

Jennifer Mathews
Comparison fields: 5 of 103
  • Molecular Biology 302
  • Cellular and Molecular Neuroscience 142
  • Food Science 110
  • Molecular Medicine 105
  • Infectious Diseases 90
Replace Silvia Fillo with:
Silvia Fillo Italy
Petros Bozidis Greece
Dierk Bauer Germany
Daria Augustyniak Poland
Paola Zucchi United States
Taro Noguchi Japan
Andrew T. Cheng Taiwan
Toni Whistler United States
Anne Busch Germany
Amanda Jacobson United States
Jennifer Mathews relative to Silvia Fillo Italy Silvia Fillo's profile →
Citations per field
00.5×1.5×
Silvia Fillo · 1×
Citations per year

Countries citing papers authored by Jennifer Mathews

Since Specialization
Citations

This map shows the geographic impact of Jennifer Mathews'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 Jennifer Mathews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer Mathews more than expected).

Fields of papers citing papers by Jennifer Mathews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Mathews. 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 Jennifer Mathews. The network helps show where Jennifer Mathews may publish in the future.

Co-authorship network of co-authors of Jennifer Mathews

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Mathews. A scholar is included among the top collaborators of Jennifer Mathews 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 Jennifer Mathews. Jennifer Mathews is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 14
2 11
3 49
4 4
5 37
6 51
7 57
8 42
9 21
10 7
11 8
12 63
13 4
14 53
15 64
16 16
17 189
18 21

About Jennifer Mathews

Jennifer Mathews is a scholar working on Molecular Medicine, Equine and Food Science, having authored 18 papers that have together received 711 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (3 papers), Antibiotic Resistance in Bacteria (3 papers) and LGBTQ Health, Identity, and Policy (3 papers). The work is most often cited by research in Molecular Medicine (105 citations), Endocrinology (54 citations) and Cellular and Molecular Neuroscience (142 citations). Jennifer Mathews has collaborated with scholars based in United States. Frequent co-authors include Jean M. Bidlack, Alan V. Smrcka, Wondwossen A. Gebreyes, Melanie Abley, Amy L. Parkhill, Sundeep Malik, Dianqing Wu, Tabetha M. Bonacci, Jose L. Font and Chujun Yuan. Their work appears in journals such as Science, Journal of Neuroscience and SHILAP Revista de lepidopterología.

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.

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