Heather Eng

3.9k citations
41 papers · 865 indexed · h-index 17

Heather Eng

39 papers receiving 848 citations

Peers

Heather Eng
Comparison fields: 5 of 96
  • Pharmacology 230
  • Microbiology 60
  • Toxicology 32
  • Computational Theory and Mathematics 133
  • Oncology 176
Replace Jonathan Bauman with:
Jonathan Bauman United States
Praveen M. Bahadduri United States
Charles J. Rotter United States
Kristina Campanale United States
Dieter M. Drexler United States
Subrata Deb United States
Gao Tu China
Philip Prathipati India
Eric L. Reyner United States
Prajwal P. Nandekar India
Heather Eng relative to Jonathan Bauman United States Jonathan Bauman's profile →
Citations per field
00.5×1.5×
Jonathan Bauman · 1×
Citations per year

Countries citing papers authored by Heather Eng

Since Specialization
Citations

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

Fields of papers citing papers by Heather Eng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20233
5 202277
6 202215
7 202127
8 202121
9 202115
10 202112
11 202015
12 20185
13 201818
14 20165
15 20167
16 20168
17 201623
18 201415
19 201320
20 201224

About Heather Eng

Heather Eng is a scholar working on Pharmacology, Pharmacology, Computational Theory and Mathematics, Oncology and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 865 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), Drug Transport and Resistance Mechanisms (10 papers), Computational Drug Discovery Methods (7 papers), Drug-Induced Hepatotoxicity and Protection (5 papers), Pancreatic function and diabetes (5 papers), Diabetes Treatment and Management (4 papers), Receptor Mechanisms and Signaling (4 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Pharmacology (230 citations), Microbiology (60 citations), Toxicology (32 citations), Computational Theory and Mathematics (133 citations) and Oncology (176 citations). Heather Eng has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Amit S. Kalgutkar, R. Scott Obach, Raman Sharma, Thomas S. McDonald, Li Di, Manthena V. S. Varma, Chris Limberakis, Angela Wolford, Jian Lin and Jonathan Bauman. Their work appears in journals such as Drug Metabolism and Disposition, Xenobiotica, Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Organic Letters.

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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