Sara Stafford

809 citations
12 papers · 639 indexed · h-index 8
Topics
Diabetes Treatment and Management (6 papers)Pancreatic function and diabetes (3 papers)Peptidase Inhibition and Analysis (2 papers)
Partner nations
CanadaSwedenDenmark

In The Last Decade

Sara Stafford

12 papers receiving 613 citations

Peers

Sara Stafford
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 362
  • Molecular Biology 231
  • Oncology 226
  • Cellular and Molecular Neuroscience 179
  • Surgery 142
Replace Susan Harris with:
Susan Harris United States
Päivi Kekäläinen Finland
Plamen Kozlovski United States
Greg Anglin United States
Rhona Scott United Kingdom
Dennis Swearingen United States
Samantha Greenberg United States
Juan Carlos Obaya Spain
Dağıstan Tolga Arıöz Türkiye
Dachuang Cao United States
Sara Stafford relative to Susan Harris United States Susan Harris's profile →
Citations per field
00.5×5.4×
Susan Harris · 1×
Citations per year

Countries citing papers authored by Sara Stafford

Since Specialization
Citations

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

Fields of papers citing papers by Sara Stafford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Stafford

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 4
2 9
3 4
4 39
5 1
6 25
7 5
8 37
9 60
10 131
11 120
12 204

About Sara Stafford

Sara Stafford is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Obstetrics and Gynecology, having authored 12 papers that have together received 639 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (6 papers), Pancreatic function and diabetes (3 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (362 citations), Cellular and Molecular Neuroscience (179 citations) and Oncology (226 citations). Sara Stafford has collaborated with scholars based in Canada, Sweden and Denmark. Frequent co-authors include J. Andrew Pospisilik, Raymond A. Pederson, Christopher H.S. McIntosh, Roger W. Brownsey, W. S. Parkhouse, Diane T. Finegood, Hans‐Ulrich Demuth, Wei Han, Tae Joon and Stephen Zicha. Their work appears in journals such as The Journal of Physiology, Diabetes and Journal of General Internal 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.

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