Betty E. Haskell

23 papers receiving 408 citations

Peers

Betty E. Haskell
Comparison fields: 5 of 78
  • Clinical Biochemistry 81
  • Biochemistry 72
  • Rheumatology 61
  • Nutrition and Dietetics 64
  • Ecology, Evolution, Behavior and Systematics 61
Replace Motonori Fujiwara with:
Motonori Fujiwara Japan
Sabu Kasai Japan
Kiku Murata Japan
Harold J. Klosterman United States
AKIJI FUJITA Japan
P.B. Rama Rao United States
U.S. Kumta India
Clarence P. Berg United States
G. H. Sloane-Stanley United Kingdom
C. M. Caldarera Italy
Betty E. Haskell relative to Motonori Fujiwara Japan Motonori Fujiwara's profile →
Citations per field
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Motonori Fujiwara · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197056
2 197234
3 197032
4 196530
5 197630
6 197230
7 197626
8 198725
9 197121
10 197921
11 197920
12 197619
13 197819
14 198415
15 198514
16 197112
17 198310
18 198310
19 19809
20 19678

About Betty E. Haskell

Betty E. Haskell is a scholar working on Molecular Biology, Biochemistry, Materials Chemistry, Ecology, Evolution, Behavior and Systematics and Clinical Biochemistry, having authored 26 papers that have together received 456 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (5 papers), Enzyme Structure and Function (5 papers), Metabolism and Genetic Disorders (4 papers), Insect and Pesticide Research (4 papers), Botanical Research and Chemistry (4 papers), Folate and B Vitamins Research (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and GABA and Rice Research (3 papers). The work is most often cited by research in Clinical Biochemistry (81 citations), Biochemistry (72 citations), Rheumatology (61 citations), Nutrition and Dietetics (64 citations) and Ecology, Evolution, Behavior and Systematics (61 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, James H. Fisher and Gregory D. Cartee. Their work appears in journals such as Journal of Nutrition, Toxicology and Applied Pharmacology, Analytical Biochemistry, Archives of Biochemistry and Biophysics and Biochemical and Biophysical Research Communications.

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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