Beverly Word

895 citations
35 papers · 693 indexed · h-index 17

Impact in

Papers in

Beverly Word

35 papers receiving 680 citations

Peers

Beverly Word
Comparison fields: 5 of 101
  • Rheumatology 100
  • Immunology 140
  • Toxicology 21
  • Cancer Research 89
  • Oncology 139
Replace Soyun M. Hwang with:
Soyun M. Hwang United States
E. Bramm Denmark
Natsuko Kusunoki Japan
Leye He China
Ece Konaç Türkiye
Danfeng Xue China
Tongzu Liu China
Beverly Word relative to Soyun M. Hwang United States Soyun M. Hwang's profile →
Citations per field
00.5×2.9×
Soyun M. Hwang · 1×
Citations per year

Countries citing papers authored by Beverly Word

Since Specialization
Citations

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

Fields of papers citing papers by Beverly Word

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20221
3 202018
4 201864
5 20182
6 20172
7 20173
8 201649
9 201555
10 20154
11 201477
12 201419
13 201331
14 201227
15 20119
16
Gender differences in gemcitabine (Gemzar) efficacy in cancer cells: effect of indole-3-carbinol.
201012
17
Gender differences in expression of drug transporter genes in human livers: Microarray and real-time PCR analysis
20081
18 200749
19 200641
20
Modulation of the constitutive activated STAT3 transcription factor in pancreatic cancer prevention: effects of indole-3-carbinol (I3C) and genistein.
200438

About Beverly Word

Beverly Word is a scholar working on Physiology, Cancer Research, Toxicology, Molecular Biology and Oncology, having authored 35 papers that have together received 693 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Drug Transport and Resistance Mechanisms (5 papers), RNA modifications and cancer (5 papers), Cancer-related molecular mechanisms research (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Systemic Lupus Erythematosus Research (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Rheumatology (100 citations), Immunology (140 citations), Toxicology (21 citations), Cancer Research (89 citations) and Oncology (139 citations). Beverly Word has collaborated with scholars based in United States, China and Nigeria. Frequent co-authors include Beverly Lyn‐Cook, George Hammons, Edward L. Treadwell, Athena Starlard‐Davenport, Kenneth L. Wiley, Hong‐Gang Wang, Lascelles E. Lyn‐Cook, Nysia I. George, Cheng‐Hui Xie and Yongmei Xiao. Their work appears in journals such as Cancer Research, Nanotoxicology, Cell Biology and Toxicology, Clinical Cancer Research and Toxicology and Industrial Health.

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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