Liat Appelbaum

2.3k citations
60 papers · 1.7k · h-index 22

Impact in

    • Microbial Inactivation Methods
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Bariatric Surgery and Outcomes 4
    • Bladder and Urothelial Cancer Treatments 3
    • Intestinal Malrotation and Obstruction Disorders 3
    • Biliary and Gastrointestinal Fistulas 3

Liat Appelbaum

57 papers receiving 1.7k citations

Peers

Liat Appelbaum
Comparison fields: 5 of 86
  • Biotechnology 501
  • Hepatology 122
  • Physiology 71
  • Surgery 451
  • Reproductive Medicine 86
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E. Baker United States
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Citations per field
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Citations per year

Countries citing papers authored by Liat Appelbaum

Since Specialization
Citations

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

Fields of papers citing papers by Liat Appelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012208
2 2012123
3 201399
4 200998
5 200791
6 201185
7 201181
8 201367
9 201263
10 201155
11 201154
12 200150
13 201148
14 200944
15 201337
16 201337
17 201336
18 201132
19 200931
20
Conservative treatment for acute cholecystitis: clinical and radiographic predictors of failure.
200931

About Liat Appelbaum

Liat Appelbaum is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Biotechnology, Oncology and Hepatology, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microbial Inactivation Methods (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Bariatric Surgery and Outcomes (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Biliary and Gastrointestinal Fistulas (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Intestinal Malrotation and Obstruction Disorders (3 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Biotechnology (501 citations), Hepatology (122 citations), Physiology (71 citations), Surgery (451 citations) and Reproductive Medicine (86 citations). Liat Appelbaum has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Jacob Sosna, S. Nahum Goldberg, Eliel Ben-David, Isaac Nissenbaum, Mohammad Faroja, Andrei Keidar, Marwan Moussa, Muneeb Ahmed, Ram Elazary and Chaya Schweiger. Their work appears in journals such as Radiology, American Journal of Roentgenology, Obesity Surgery, Endocrine Practice and Journal of Vascular and Interventional Radiology.

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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