Linda D. Ferrell

30.8k citations
222 papers · 21.7k indexed · 3 hit papers · h-index 60
Topics
Liver Disease Diagnosis and Treatment (62 papers)Hepatocellular Carcinoma Treatment and Prognosis (38 papers)Hepatitis B Virus Studies (32 papers)

In The Last Decade

Linda D. Ferrell

222 papers receiving 21.2k citations

Hit Papers

Design and validation of a histological scoring system fo...20002026200820172005200120002.5k5.0k7.5k

Peers

Linda D. Ferrell
Comparison fields: 5 of 157
  • Epidemiology 13.0k
  • Hepatology 10.3k
  • Surgery 6.6k
  • Endocrinology, Diabetes and Metabolism 3.0k
  • Molecular Biology 2.9k
Replace Oscar W. Cummings with:
Oscar W. Cummings United States
Alastair D. Burt United Kingdom
Michael Torbenson United States
Valérie Paradis France
Stefan G. Hübscher United Kingdom
Pierre Bédossa France
Geoffrey W. McCaughan Australia
Swan N. Thung United States
Frédéric Charlotte France
Manal F. Abdelmalek United States
Linda D. Ferrell relative to Oscar W. Cummings United States Oscar W. Cummings's profile →
Citations per field
00.5×1.5×2.2×
Oscar W. Cummings · 1×
Citations per year

Countries citing papers authored by Linda D. Ferrell

Since Specialization
Citations

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

Fields of papers citing papers by Linda D. Ferrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda D. Ferrell. 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 Linda D. Ferrell. The network helps show where Linda D. Ferrell may publish in the future.

Co-authorship network of co-authors of Linda D. Ferrell

This figure shows the co-authorship network connecting the top 25 collaborators of Linda D. Ferrell. A scholar is included among the top collaborators of Linda D. Ferrell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linda D. Ferrell. Linda D. Ferrell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 36
3 42
4 16
5 17
6 52
7 2
8 256
9 61
10 38
11 43
12 65
13 36
14 35
15 176
16 30
17 149
18 15
19 46
20 6

About Linda D. Ferrell

Linda D. Ferrell is a scholar working on Hepatology, Transplantation and Developmental Neuroscience, having authored 222 papers that have together received 21.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (62 papers), Hepatocellular Carcinoma Treatment and Prognosis (38 papers) and Hepatitis B Virus Studies (32 papers). The work is most often cited by research in Hepatology (10.3k citations), Epidemiology (13.0k citations) and Endocrinology, Diabetes and Metabolism (3.0k citations). Linda D. Ferrell has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Michael Torbenson, Elizabeth M. Brunt, Matthew M. Yeh, Aynur Ünalp–Arida, Oscar W. Cummings, David E. Kleiner, Melissa J. Contos, Mark L. Van Natta, Yao‐Chang Liu and Cynthia Behling. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

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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