Bethany Halford

866 citations
191 papers · 638 · h-index 12

Impact in

Papers in

Bethany Halford

173 papers receiving 606 citations

Peers

Bethany Halford
Comparison fields: 5 of 150
  • Pharmaceutical Science 36
  • Organic Chemistry 151
  • Infectious Diseases 77
  • Health Information Management 19
  • Computational Theory and Mathematics 66
Replace Miroslava Nedyalkova with:
Miroslava Nedyalkova Bulgaria
Joanna Bojarska Poland
Neha Singh India
Vandana Purohit United States
Vicky Mody United States
Katja Kettler Germany
Damini Sood India
Samir Haj Bloukh United Arab Emirates
Guanyu Wang China
Alexandra T. P. Carvalho Portugal
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Citations per field
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Miroslava Nedyalkova · 1×
Citations per year

Countries citing papers authored by Bethany Halford

Since Specialization
Citations

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

Fields of papers citing papers by Bethany Halford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Bethany Halford, 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 Bethany Halford Line = papers co-authored together Bethany Halford links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202253
2 201447
3 201633
4 201631
5 200823
6 199023
7 202121
8 200518
9 200617
10 200214
11 200512
12 202012
13 200011
14 200811
15 201110
16 20209
17 20218
18 20057
19
Cleaning Up Wastewater Magnetically
20067
20 20176

About Bethany Halford

Bethany Halford is a scholar working on Organic Chemistry, Physical and Theoretical Chemistry, Biomedical Engineering, Materials Chemistry and Molecular Biology, having authored 191 papers that have together received 638 indexed citations. Recurring topics across this work include Various Chemistry Research Topics (9 papers), Chemistry and Chemical Engineering (7 papers), Nanotechnology research and applications (5 papers), Science, Research, and Medicine (4 papers), History and advancements in chemistry (4 papers), COVID-19 Clinical Research Studies (3 papers), Nanomaterials for catalytic reactions (3 papers) and Machine Learning in Materials Science (3 papers). The work is most often cited by research in Pharmaceutical Science (36 citations), Organic Chemistry (151 citations), Infectious Diseases (77 citations), Health Information Management (19 citations) and Computational Theory and Mathematics (66 citations). Bethany Halford has collaborated with scholars based in United States. Frequent co-authors include Madelyn L. Wheeler, Gary H. Posner, Sara Peleg, Thomas W. Kensler, Patrick Dolan, Qiang Wang, John P. Maxwell, Lisa Jarvis, Matthias Steffen and A. Lambrecht. Their work appears in journals such as ACS Central Science, Journal of Medicinal Chemistry, Tetrahedron Letters, Chemical & Engineering News and Journal of the American Dietetic Association.

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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