Heidi J. Einolf

3.8k citations
40 papers · 1.7k · h-index 25

Impact in

  • Pharmacology top 0.2%
    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms

Papers in

    • Pharmacogenetics and Drug Metabolism 23
    • Drug-Induced Hepatotoxicity and Protection 4
    • Drug Transport and Resistance Mechanisms 13

Heidi J. Einolf

39 papers receiving 1.6k citations

Peers

Heidi J. Einolf
Comparison fields: 5 of 89
  • Pharmacology 801
  • Oncology 462
  • Computational Theory and Mathematics 167
  • Endocrinology, Diabetes and Metabolism 153
  • Pediatrics, Perinatology and Child Health 161
Replace David R. Jones with:
David R. Jones United States
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Citations per field
00.5×3.5×
David R. Jones · 1×
Citations per year

Countries citing papers authored by Heidi J. Einolf

Since Specialization
Citations

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

Fields of papers citing papers by Heidi J. Einolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heidi J. Einolf. 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 Heidi J. Einolf. The network helps show where Heidi J. Einolf may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009226
2 2008121
3 2001121
4 2009108
5 2007102
6 199883
7 201681
8 201373
9 201052
10 200051
11 201646
12 201845
13 201638
14 201138
15 201937
16 201734
17 200733
18 201732
19 201731
20 199731

About Heidi J. Einolf

Heidi J. Einolf is a scholar working on Pharmacology, Oncology, Molecular Biology, Statistics and Probability and Computational Theory and Mathematics, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (23 papers), Drug Transport and Resistance Mechanisms (13 papers), Statistical Methods in Clinical Trials (8 papers), DNA Repair Mechanisms (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Computational Drug Discovery Methods (4 papers), Biosimilars and Bioanalytical Methods (4 papers) and HIV/AIDS drug development and treatment (3 papers). The work is most often cited by research in Pharmacology (801 citations), Oncology (462 citations), Computational Theory and Mathematics (167 citations), Endocrinology, Diabetes and Metabolism (153 citations) and Pediatrics, Perinatology and Child Health (161 citations). Heidi J. Einolf has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include F. Peter Guengerich, Helen Gu, Nathalie Schnetz‐Boutaud, Michael Sinz, Handan He, James B. Mangold, Lai Wang, Lai Wang, R. Scott Obach and David O. Nettleton. Their work appears in journals such as Drug Metabolism and Disposition, Xenobiotica, CPT Pharmacometrics & Systems Pharmacology, Journal of Biological Chemistry and Clinical Pharmacology & Therapeutics.

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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