Susan E. Pratt

23 papers receiving 1.1k citations

Peers

Susan E. Pratt
Comparison fields: 5 of 107
  • Oncology 558
  • Cancer Research 121
  • Endocrinology, Diabetes and Metabolism 130
  • Pediatrics, Perinatology and Child Health 143
  • Pharmacology 64
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Chris Liddle Australia
Ai Tamura Japan
Masanori Miwa Japan
Lee R. Tanzer United States
Dietmar Schwab Switzerland
Araba A. Adjei United States
Jun-ichi Sawada Japan
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Citations per year

Countries citing papers authored by Susan E. Pratt

Since Specialization
Citations

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

Fields of papers citing papers by Susan E. Pratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Susan E. Pratt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Susan E. Pratt Line = papers co-authored together Susan E. Pratt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005198
2 1999156
3
Estrogen and antiestrogen modulation of MCF7 human breast cancer cell proliferation is associated with specific alterations in accumulation of insulin-like growth factor-binding proteins in conditioned media.
1993110
4 2013103
5 200296
6 201394
7 199466
8 201661
9 200754
10 200537
11 200332
12 199927
13 201325
14 201019
15
Identification and characterization of the canine multidrug resistance-associated protein.
200219
16 200217
17 201715
18 199412
19 19948
20 20138

About Susan E. Pratt

Susan E. Pratt is a scholar working on Oncology, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism, Physiology and Molecular Biology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (8 papers), Pharmacological Effects and Toxicity Studies (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Pregnancy and Medication Impact (2 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Oncology (558 citations), Cancer Research (121 citations), Endocrinology, Diabetes and Metabolism (130 citations), Pediatrics, Perinatology and Child Health (143 citations) and Pharmacology (64 citations). Susan E. Pratt has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Anne H. Dantzig, Michaël Pollak, Robert L. Shepard, William L. Perry, Ramani A. Kandasamy, Paul A. Johnston, James J. Starling, Karen Mintze, George Earl Sandusky and Steven A. Wrighton. Their work appears in journals such as Molecular Cancer Therapeutics, Biochemical and Biophysical Research Communications, In Vitro Cellular & Developmental Biology - Animal, Histopathology and Journal of Cellular Physiology.

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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