Edward E. Cable

39 papers receiving 1.4k citations

Peers

Edward E. Cable
Comparison fields: 5 of 99
  • Hepatology 213
  • Endocrinology, Diabetes and Metabolism 362
  • Hematology 217
  • Genetics 163
  • Epidemiology 419
Replace Norio Horiguchi with:
Norio Horiguchi Japan
Rajender K. Chawla United States
Johannes Schmitt Germany
J. P. Farriaux France
Yeon‐Kyung Choi South Korea
S. Saccomanno Italy
Wen‐Lung Ma Taiwan
Masaki Takayanagi Japan
Laura Cesaratto Italy
Cynthia Arbeeny United States
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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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007188
2 2008170
3 1999112
4 199594
5 201075
6 199263
7 200845
8 199944
9 199342
10 202237
11 200937
12 199336
13
A detailed analysis of the Knodell score and other histologic parameters as predictors of response to interferon therapy in chronic hepatitis C.
199534
14 199432
15 199732
16 200029
17 199028
18 200827
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 Hepatology, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (14 papers), Neonatal Health and Biochemistry (13 papers), Porphyrin Metabolism and Disorders (10 papers), Liver Disease Diagnosis and Treatment (8 papers), Iron Metabolism and Disorders (4 papers), Cannabis and Cannabinoid Research (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Hepatology (213 citations), Endocrinology, Diabetes and Metabolism (362 citations), Hematology (217 citations), Genetics (163 citations) and Epidemiology (419 citations). Edward E. Cable has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Herbert L. Bonkovsky, Harriet C. Isom, Mark D. Erion, David L. Linemeyer, Paul D. van Poelje, 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 PPAR 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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