Adam D. Wolfe

1.0k citations
37 papers · 753 · h-index 16

Impact in

Papers in

Adam D. Wolfe

33 papers receiving 734 citations

Peers

Adam D. Wolfe
Comparison fields: 5 of 109
  • Pharmacology 360
  • Computational Theory and Mathematics 173
  • Plant Science 235
  • Health, Toxicology and Mutagenesis 84
  • Molecular Biology 288
Replace Letha H. Couch with:
Letha H. Couch United States
David J. Stewart Canada
Amy J. Campbell United States
Sally Robinson United Kingdom
Maxie Kohler Germany
Joseph E. Henriquez United States
Martin Würtele Brazil
Blasé Billack United States
Ying‐Ting Lin Taiwan
Qiaoli Zhang China
Adam D. Wolfe relative to Letha H. Couch United States Letha H. Couch's profile →
Citations per field
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Citations per year

Countries citing papers authored by Adam D. Wolfe

Since Specialization
Citations

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

Fields of papers citing papers by Adam D. Wolfe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam D. Wolfe. 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 Adam D. Wolfe. The network helps show where Adam D. Wolfe may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199080
2 198674
3 198570
4 198768
5 199557
6 198944
7 200037
8 199336
9 201831
10 200229
11 199324
12 198920
13 201420
14 201618
15 201416
16 197315
17 199312
18
Molecular profiling: gene expression reveals discrete phases of lens induction and development in Xenopus laevis.
200411
19 200611
20 201710

About Adam D. Wolfe

Adam D. Wolfe is a scholar working on Molecular Biology, Pharmacology, Plant Science, General Health Professions and Public Health, Environmental and Occupational Health, having authored 37 papers that have together received 753 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (12 papers), Pesticide Exposure and Toxicity (8 papers), Innovations in Medical Education (3 papers), Computational Drug Discovery Methods (3 papers), Patient-Provider Communication in Healthcare (3 papers), Diversity and Career in Medicine (3 papers), Chemical Reaction Mechanisms (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Pharmacology (360 citations), Computational Theory and Mathematics (173 citations), Plant Science (235 citations), Health, Toxicology and Mutagenesis (84 citations) and Molecular Biology (288 citations). Adam D. Wolfe has collaborated with scholars based in United States, Chile and South Korea. Frequent co-authors include Robert S. Rush, Bhupendra P. Doctor, B.P. Doctor, Jo Ann Cameron, Jonathan J. Henry, Karen M. Downs, Donald M. Maxwell, Mary K. Gentry, Muhammad Saeed and Karen M. Brecht. Their work appears in journals such as Developmental Dynamics, Biochemical Pharmacology, FEBS Letters, Journal of Pediatric Hematology/Oncology and Academic Medicine.

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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