Susan Hauser

1.6k citations
18 papers · 1.4k · h-index 16

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms

Papers in

    • Cholesterol and Lipid Metabolism 13
    • Pediatric Hepatobiliary Diseases and Treatments 2
    • Protein Hydrolysis and Bioactive Peptides 4
    • Peroxisome Proliferator-Activated Receptors 3

Susan Hauser

18 papers receiving 1.3k citations

Peers

Susan Hauser
Comparison fields: 5 of 69
  • Pharmacology 333
  • Oncology 644
  • Clinical Biochemistry 139
  • Endocrinology, Diabetes and Metabolism 313
  • Surgery 819
Replace E. L. Forker with:
E. L. Forker United States
G. Kakis Canada
A Radominska United States
Robert F. Raicht United States
R W Bork United States
R. Infante France
S. Balasubramaniam Australia
Andrew M. Anisfeld United States
G C Ness United States
Renze Boverhof Netherlands
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Citations per field
00.5×6.3×
E. L. Forker · 1×
Citations per year

Countries citing papers authored by Susan Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Susan Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Susan Hauser, 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 Hauser Line = papers co-authored together Susan Hauser links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1968221
2 1970219
3 1969190
4 1973186
5 1972125
6 198875
7 197367
8 198157
9 197253
10 197249
11 198237
12 196635
13 196627
14 199126
15 198423
16 199719
17 19943
18
[Neytumorin as biomodular onco-therapy--allegations without documentation].
19971

About Susan Hauser

Susan Hauser is a scholar working on Surgery, Molecular Biology, Oncology, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (13 papers), Drug Transport and Resistance Mechanisms (8 papers), Pharmacogenetics and Drug Metabolism (6 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Cancer, Lipids, and Metabolism (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and Pediatric Hepatobiliary Diseases and Treatments (2 papers). The work is most often cited by research in Pharmacology (333 citations), Oncology (644 citations), Clinical Biochemistry (139 citations), Endocrinology, Diabetes and Metabolism (313 citations) and Surgery (819 citations). Susan Hauser has collaborated with scholars based in United States. Frequent co-authors include Sarah Shefer, Erwin H. Mosbach, E.H. Mosbach, Ihor Bekersky, A K Batta, G Salen, Gerald Salen, G. Stephen Tint, F. W. Cheng and L Nguyen. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Journal of Clinical Investigation, Metabolism and PubMed.

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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