Susan Parazzoli

1.3k total citations
12 papers, 1.1k citations indexed

About

Susan Parazzoli is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Susan Parazzoli has authored 12 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Molecular Biology. Recurrent topics in Susan Parazzoli's work include Pancreatic function and diabetes (8 papers), Diet, Metabolism, and Disease (4 papers) and Diabetes and associated disorders (3 papers). Susan Parazzoli is often cited by papers focused on Pancreatic function and diabetes (8 papers), Diet, Metabolism, and Disease (4 papers) and Diabetes and associated disorders (3 papers). Susan Parazzoli collaborates with scholars based in United States, Belgium and France. Susan Parazzoli's co-authors include Vincent Poitout, Derek Hagman, Patrick C. Moore, Lori B. Hays, R. Paul Robertson, Elizabeth Oseid, Jamie S. Harmon, Barton Wicksteed, Christopher J. Rhodes and Marika Bogdani and has published in prestigious journals such as Journal of Biological Chemistry, Diabetes and Endocrinology.

In The Last Decade

Susan Parazzoli

12 papers receiving 1.0k citations

Peers

Susan Parazzoli
Comparison fields: 5 of 65
  • Surgery 741
  • Molecular Biology 477
  • Endocrinology, Diabetes and Metabolism 353
  • Genetics 352
  • Physiology 167
Replace Hannah J. Welters with:
Hannah J. Welters United Kingdom
Kazumasa Miyawaki Japan
Elizabeth Oseid United States
Melissa F. Brereton United Kingdom
Osnat Ben-Zeev United States
Kwan Yi Chu Australia
M. Anello Italy
Julia Stertmann Germany
S Kawazu Japan
Tokuyuki Yamashita Japan
Hannah J. Welters United Kingdom View profile →
Citations per field, relative to Susan Parazzoli
Susan Parazzoli · 1×
Citations per year, relative to Susan Parazzoli
Susan Parazzoli · 1×

Countries citing papers authored by Susan Parazzoli

Since Specialization
Citations

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

Fields of papers citing papers by Susan Parazzoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan Parazzoli

This figure shows the co-authorship network connecting the top 25 collaborators of Susan Parazzoli. A scholar is included among the top collaborators of Susan Parazzoli 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 Susan Parazzoli. Susan Parazzoli 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
# Work Indexed citations
1 98
2 43
3 42
4
Ebselen treatment prevents islet apoptosis, maintains intranuclear Pdx-1 and MafA levels, and preserves -cell mass and function in ZDF rats Running title: Ebselen preserves -cell mass and function in ZDF rats
3
5 69
6 30
7 154
8 37
9 171
10 155
11 77
12 188

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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