E H Ulm

2.7k citations
47 papers · 1.6k · h-index 23

Impact in

Papers in

    • Protein Hydrolysis and Bioactive Peptides 9
    • Retinoids in leukemia and cellular processes 8
    • Chemical Synthesis and Analysis 7

E H Ulm

47 papers receiving 1.5k citations

Peers

E H Ulm
Comparison fields: 5 of 96
  • Biochemistry 104
  • Pharmacology 136
  • Molecular Biology 1.0k
  • Biochemistry 71
  • Computational Theory and Mathematics 155
Replace Ruth I. Geran with:
Ruth I. Geran United States
Suresh Yeola United States
Paul Hadváry Switzerland
Brian R. Krause United States
Drago R. Sliskovic United States
Johannes D. Aebi Switzerland
Shin‐Hun Juang Taiwan
Ladislav Mirossay Slovakia
Robert J. Ife United Kingdom
H. T. Huang United States
E H Ulm relative to Ruth I. Geran United States Ruth I. Geran's profile →
Citations per field
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Ruth I. Geran · 1×
Citations per year

Countries citing papers authored by E H Ulm

Since Specialization
Citations

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

Fields of papers citing papers by E H Ulm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983137
2 1980118
3 1985111
4 200696
5 200796
6
A Phase I study of LGD1069 in adults with advanced cancer.
199988
7 199579
8 197265
9 198362
10
Initial clinical trial of the retinoid receptor pan agonist 9-cis retinoic acid.
199655
11 197551
12 199347
13 197344
14 199043
15 198242
16 198441
17
Effects of retinoid treatment of rats on hepatic microsomal metabolism and cytochromes P450. Correlation between retinoic acid receptor/retinoid x receptor selectivity and effects on metabolic enzymes.
199839
18 197537
19 198431
20 198528

About E H Ulm

E H Ulm is a scholar working on Molecular Biology, Oncology, Genetics, Pharmacology and Biochemistry, having authored 47 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (9 papers), Retinoids in leukemia and cellular processes (8 papers), Estrogen and related hormone effects (8 papers), Chemical Synthesis and Analysis (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Inflammatory mediators and NSAID effects (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Biochemistry (104 citations), Pharmacology (136 citations), Molecular Biology (1.0k citations), Biochemistry (71 citations) and Computational Theory and Mathematics (155 citations). E H Ulm has collaborated with scholars based in United States. Frequent co-authors include Daniel H. Rich, Eric T. Sun, Michael A. Shirley, Bruce I. LaMont, Joshua Boger, Martin Poe, Burton M. Pogell, Edward H. Blaine, Terry W. Schorn and Linda S. Payne. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Medicinal Chemistry, Biochemical and Biophysical Research Communications, Cardiovascular Drug Reviews and Proceedings of the National Academy of Sciences.

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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