Susan P. Fuller

658 total citations
16 papers, 533 citations indexed

About

Susan P. Fuller is a scholar working on Epidemiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Susan P. Fuller has authored 16 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Susan P. Fuller's work include Acute Ischemic Stroke Management (6 papers), Muscle metabolism and nutrition (6 papers) and Diet and metabolism studies (4 papers). Susan P. Fuller is often cited by papers focused on Acute Ischemic Stroke Management (6 papers), Muscle metabolism and nutrition (6 papers) and Diet and metabolism studies (4 papers). Susan P. Fuller collaborates with scholars based in United States. Susan P. Fuller's co-authors include John T. Devlin, David N. Krag, Stephanie C. Pero, Donald L. Weaver, Girja S. Shukla, Martin M. Bednar, Cordell E. Gross, Irwin Brodsky, Christian Thomas and Guang‐Ping Shen and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer Research and Journal of Applied Physiology.

In The Last Decade

Susan P. Fuller

16 papers receiving 516 citations

Peers

Susan P. Fuller
Comparison fields: 5 of 76
  • Molecular Biology 233
  • Radiology, Nuclear Medicine and Imaging 144
  • Physiology 105
  • Cell Biology 82
  • Epidemiology 67
Replace Van-Yu Wu with:
Van-Yu Wu United States
Shiho Yoshida Japan
W Deimann Germany
Qin Yang China
Christof Zimmermann Austria
Lixin Wang China
Mitsuru Chiba Japan
B. Vogt Germany
Huayi Lü China
Ja-Seok Koo United States
Van-Yu Wu United States View profile →
Citations per field, relative to Susan P. Fuller
Susan P. Fuller · 1×
Citations per year, relative to Susan P. Fuller
Susan P. Fuller · 1×

Countries citing papers authored by Susan P. Fuller

Since Specialization
Citations

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

Fields of papers citing papers by Susan P. Fuller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susan P. Fuller

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 165
2 41
3 17
4
16(R)-hydroxyeicosatetraenoic acid, a novel cytochrome P450 product of arachidonic acid, suppresses activation of human polymorphonuclear leukocyte and reduces intracranial pressure in a rabbit model of thromboembolic stroke.
28
5 24
6 7
7 31
8 29
9 16
10 22
11 8
12 2
13 35
14 38
15 52
16 18

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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