Betty E. Haskell

21 papers receiving 303 citations

Peers

Betty E. Haskell
Comparison fields: 5 of 70
  • Clinical Biochemistry 46
  • Biochemistry 42
  • Ecology, Evolution, Behavior and Systematics 60
  • Nutrition and Dietetics 47
  • Biochemistry 15
Replace Harold J. Klosterman with:
Harold J. Klosterman United States
R. Schuster Germany
C.O. Clagett United States
Clarence P. Berg United States
Walter M. Verhue Netherlands
J. R. CANNON Australia
Sumio Ishijima Japan
J.E. Thompson Canada
R.G. Bridges Italy
W. Rödel Germany
Betty E. Haskell relative to Harold J. Klosterman United States Harold J. Klosterman's profile →
Citations per field
00.5×4.3×
Harold J. Klosterman · 1×
Citations per year

Countries citing papers authored by Betty E. Haskell

Since Specialization
Citations

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

Fields of papers citing papers by Betty E. Haskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Betty E. Haskell, 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 Betty E. Haskell Line = papers co-authored together Betty E. Haskell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197630
2 197228
3 197226
4 196525
5 197625
6 198722
7 197920
8 197618
9 197918
10 197818
11 197118
12 198414
13 198513
14 197111
15 198310
16 19839
17 19809
18 19696
19 19725
20 19673

About Betty E. Haskell

Betty E. Haskell is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Nutrition and Dietetics, Biochemistry and Insect Science, having authored 22 papers that have together received 331 indexed citations. Recurring topics across this work include Botanical Research and Chemistry (4 papers), Insect and Pesticide Research (4 papers), GABA and Rice Research (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Metabolism and Genetic Disorders (2 papers) and Animal Nutrition and Physiology (2 papers). The work is most often cited by research in Clinical Biochemistry (46 citations), Biochemistry (42 citations), Ecology, Evolution, Behavior and Systematics (60 citations), Nutrition and Dietetics (47 citations) and Biochemistry (15 citations). Betty E. Haskell has collaborated with scholars based in United States. Frequent co-authors include Esmond E. Snell, Patrick K. Cusick, Tara Mehta, Alan J. Parker, Roma R. Bell, Carol S. Johnston, An‐Fei Hsu, William P. Kolb, Kathleen M. Koehler and James H. Fisher. Their work appears in journals such as Journal of Nutrition, Toxicology and Applied Pharmacology, Archives of Biochemistry and Biophysics, Analytical Biochemistry and Phytochemistry.

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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