Edward E. Cable

1.8k citations
42 papers · 1.5k · h-index 23

Impact in

Papers in

Edward E. Cable

40 papers receiving 1.4k citations

Peers

Edward E. Cable
Comparison fields: 5 of 99
  • Hepatology 179
  • Endocrinology, Diabetes and Metabolism 332
  • Hematology 184
  • Genetics 125
  • Epidemiology 340
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Rajender K. Chawla United States
R. Fraser New Zealand
Johannes Schmitt Germany
Akihide Nakao Japan
Yeon‐Kyung Choi South Korea
Cindy Kunne Netherlands
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Citations per year

Countries citing papers authored by Edward E. Cable

Since Specialization
Citations

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

Fields of papers citing papers by Edward E. Cable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward E. Cable. 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 Edward E. Cable. The network helps show where Edward E. Cable may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007197
2 2008172
3 1999120
4 199596
5 201079
6 199269
7 200849
8 199946
9 199343
10 199340
11 202239
12 200938
13 199735
14
A detailed analysis of the Knodell score and other histologic parameters as predictors of response to interferon therapy in chronic hepatitis C.
199535
15 199433
16 200032
17 199031
18 200828
19 199326
20
Purifying nascent mRNA from nuclear run-on assays using guanidinium isothiocyanate.
199325

About Edward E. Cable

Edward E. Cable is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Epidemiology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (15 papers), Neonatal Health and Biochemistry (14 papers), Porphyrin Metabolism and Disorders (11 papers), Liver Disease Diagnosis and Treatment (6 papers), Drug Transport and Resistance Mechanisms (4 papers), Cannabis and Cannabinoid Research (4 papers), Thyroid Disorders and Treatments (4 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Hepatology (179 citations), Endocrinology, Diabetes and Metabolism (332 citations), Hematology (184 citations), Genetics (125 citations) and Epidemiology (340 citations). Edward E. Cable has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Herbert L. Bonkovsky, Harriet C. Isom, Mark D. Erion, Paul D. van Poelje, David L. Linemeyer, Jinzhao Hou, Patricia D. Finn, Bruce R. Ito, Herbert L. Bonkovsky and Barbara F. Banner. Their work appears in journals such as Hepatology, European Journal of Biochemistry, Drug Metabolism and Disposition, Molecular and Cellular Biochemistry and Biological Trace Element Research.

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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