Abby B. Siegel

12.0k citations
94 papers · 5.8k indexed · 3 hit papers · h-index 31

Abby B. Siegel

91 papers receiving 5.7k citations

Hit Papers

Pembrolizumab Versus Placebo as Second-Line Thera...12720192026202120234008001.2k

Peers

Abby B. Siegel
Comparison fields: 5 of 112
  • Hepatology 3.3k
  • Oncology 2.3k
  • Pathology and Forensic Medicine 1.2k
  • Cancer Research 980
  • Epidemiology 1.5k
Replace Ahmed O. Kaseb with:
Ahmed O. Kaseb United States
Su Pin Choo Singapore
Joong‐Won Park South Korea
Wolfgang Sieghart Austria
Matthias Pinter Austria
Helen L. Reeves United Kingdom
Kazuhiro Nouso Japan
Javier Sastre Spain
Osamu Nakashima Japan
Erika Martinelli Italy
Abby B. Siegel relative to Ahmed O. Kaseb United States Ahmed O. Kaseb's profile →
Citations per field
00.5×1.5×
Ahmed O. Kaseb · 1×
Citations per year

Countries citing papers authored by Abby B. Siegel

Since Specialization
Citations

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

Fields of papers citing papers by Abby B. Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abby B. Siegel. 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 Abby B. Siegel. The network helps show where Abby B. Siegel may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20242
3 20241
4 202413
5 20241
6 202331
7
Pembrolizumab Versus Placebo as Second-Line Therapy in Patients From Asia With Advanced Hepatocellular Carcinoma: A Randomized, Double-Blind, Phase III Trialbreakdown →
2022127
8 202268
9 202025
10 202026
11
Pembrolizumab As Second-Line Therapy in Patients With Advanced Hepatocellular Carcinoma in KEYNOTE-240: A Randomized, Double-Blind, Phase III Trialbreakdown →
20191300
12 201524
13 201522
14 201425
15 201373
16 2012127
17 201111
18 2011130
19 2009312
20 200776

About Abby B. Siegel

Abby B. Siegel is a scholar working on Hepatology, Oncology and Cancer Research, having authored 94 papers that have together received 5.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (53 papers), Cancer Immunotherapy and Biomarkers (22 papers), Pancreatic and Hepatic Oncology Research (17 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (15 papers), Liver Disease Diagnosis and Treatment (10 papers), Ferroptosis and cancer prognosis (9 papers), Lung Cancer Treatments and Mutations (9 papers) and Colorectal Cancer Treatments and Studies (9 papers). The work is most often cited by research in Hepatology (3.3k citations), Oncology (2.3k citations) and Pathology and Forensic Medicine (1.2k citations). Abby B. Siegel has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Andrew X. Zhu, Masatoshi Kudo, Richard S. Finn, Jennifer J. Knox, Robert S. Brown, Ann‐Lii Cheng, Sadahisa Ogasawara, Baek‐Yeol Ryoo, Stephen L. Chan and Julien Edeline. Their work appears in journals such as Journal of Clinical Oncology, Hepatology and Cancer.

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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