Zvi Ackerman

103 papers receiving 3.1k citations

Peers

Zvi Ackerman
Comparison fields: 5 of 121
  • Hepatology 756
  • Gastroenterology 206
  • Epidemiology 1.2k
  • Pharmacology 254
  • Endocrinology, Diabetes and Metabolism 300
Replace Anna Licata with:
Anna Licata Italy
Junichi Shoda Japan
Hiroshi Kono Japan
C O Record United Kingdom
Esteban Poch Spain
Gary C. Kanel United States
Per Christoffersen Denmark
I. A. D. Bouchier United Kingdom
Verena Keitel Germany
Takeshi Inagaki Japan
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Citations per year

Countries citing papers authored by Zvi Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by Zvi Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995309
2 1992270
3 2005182
4 1998178
5 2005107
6 2010106
7 200690
8 200685
9 200983
10 200778
11 200574
12 200573
13 200572
14
Overload of iron in the skin of patients with varicose ulcers. Possible contributing role of iron accumulation in progression of the disease.
198869
15
Role of small bowel biopsy in the endoscopic evaluation of adults with iron deficiency anemia.
199668
16 199465
17 199860
18 200457
19 200456
20 198850

About Zvi Ackerman

Zvi Ackerman is a scholar working on Hepatology, Microbiology, Epidemiology, Gastroenterology and Surgery, having authored 106 papers that have together received 3.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (29 papers), Liver Disease and Transplantation (24 papers), Hepatitis C virus research (10 papers), Hepatitis B Virus Studies (9 papers), Helicobacter pylori-related gastroenterology studies (7 papers), Trace Elements in Health (7 papers), Liver Diseases and Immunity (6 papers) and Diet, Metabolism, and Disease (6 papers). The work is most often cited by research in Hepatology (756 citations), Gastroenterology (206 citations), Epidemiology (1.2k citations), Pharmacology (254 citations) and Endocrinology, Diabetes and Metabolism (300 citations). Zvi Ackerman has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Daniel Rachmilewitz, Fanny Karmeli, Roland Kreis, Neil A. Farrow, Orit Pappo, Jonathan S. Stamler, Rami Eliakim, Daniel K. Podolsky, Dale R. Bachwich and Rivka Dresner Pollak. Their work appears in journals such as Journal of Clinical Gastroenterology, Journal of Hepatology, The American Journal of Gastroenterology, Digestive Diseases and Sciences and Basic & Clinical Pharmacology & Toxicology.

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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