Helen L. Reeves

14.5k citations
95 papers · 8.3k indexed · 7 hit papers · h-index 36

Helen L. Reeves

95 papers receiving 8.2k citations

Hit Papers

Molecular pathogenesis an...269201320262017202150010001.5k

Peers

Helen L. Reeves
Comparison fields: 5 of 126
  • Hepatology 4.0k
  • Epidemiology 4.6k
  • Cancer Research 1.3k
  • Endocrinology, Diabetes and Metabolism 895
  • Oncology 1.3k
Replace Takuji Torimura with:
Takuji Torimura Japan
Carolin Lackner Austria
Su Jong Yu South Korea
Kang Mo Kim South Korea
Nathalie Ganne‐Carrié France
Sumio Kawata Japan
Hayato Nakagawa Japan
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Ahmed O. Kaseb United States
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Helen L. Reeves relative to Takuji Torimura Japan Takuji Torimura's profile →
Citations per field
00.5×1.7×
Takuji Torimura · 1×
Citations per year

Countries citing papers authored by Helen L. Reeves

Since Specialization
Citations

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

Fields of papers citing papers by Helen L. Reeves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen L. Reeves. 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 Helen L. Reeves. The network helps show where Helen L. Reeves may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20233
3 20232
4 202312
5
Neutrophils as potential therapeutic targets in hepatocellular carcinomabreakdown →
2022142
6 20226
7 202230
8 20211
9 202127
10 20213
11 20201
12 201877
13 201810
14 201886
15 201469
16 20131
17 20121
18 20114
19 201111
20 20111

About Helen L. Reeves

Helen L. Reeves is a scholar working on Hepatology, Epidemiology, Cancer Research, Oncology and Cell Biology, having authored 95 papers that have together received 8.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (44 papers), Hepatocellular Carcinoma Treatment and Prognosis (29 papers), Liver physiology and pathology (9 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Kruppel-like factors research (7 papers), Cancer, Lipids, and Metabolism (7 papers), Pancreatic and Hepatic Oncology Research (6 papers) and Liver Disease and Transplantation (6 papers). The work is most often cited by research in Hepatology (4.0k citations), Epidemiology (4.6k citations), Cancer Research (1.3k citations), Endocrinology, Diabetes and Metabolism (895 citations) and Oncology (1.3k citations). Helen L. Reeves has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Quentin M. Anstee, Mathias Heikenwälder, Olivier Govaere, Elena Kotsiliti, Christopher P. Day, Alastair D. Burt, Philip J. Johnson, Sarah Berhane, Daniel H. Palmer and Shinji Satomura. Their work appears in journals such as Journal of Hepatology, Gut, Cancers, British Journal of Cancer and Gastroenterology.

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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