Shaffer Mok

730 citations
49 papers · 437 · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Esophageal and GI Pathology 10
    • Pancreatitis Pathology and Treatment 8
    • Liver Disease Diagnosis and Treatment 12
    • Hepatitis B Virus Studies 6

Shaffer Mok

44 papers receiving 434 citations

Peers

Shaffer Mok
Comparison fields: 5 of 54
  • Hepatology 135
  • Oncology 202
  • Surgery 237
  • Epidemiology 166
  • Pulmonary and Respiratory Medicine 148
Replace Karim M. Eltawil with:
Karim M. Eltawil Canada
José Antonio Ferrón Spain
Byung Uk Lee South Korea
Yoshinori Azumi Japan
Gun Hyung Na South Korea
Su Rin Shin South Korea
Cinzia Nobili France
Francesco Esposito Italy
Noelle Bendersky France
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Shaffer Mok relative to Karim M. Eltawil Canada Karim M. Eltawil's profile →
Citations per field
00.5×3.6×
Karim M. Eltawil · 1×
Citations per year

Countries citing papers authored by Shaffer Mok

Since Specialization
Citations

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

Fields of papers citing papers by Shaffer Mok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201865
2 201657
3 201747
4 201936
5 202128
6 201821
7 201919
8 201513
9 202212
10 202111
11 201711
12 201310
13 201710
14 20169
15 20149
16 20208
17 20176
18 20235
19 20155
20 20235

About Shaffer Mok

Shaffer Mok is a scholar working on Surgery, Epidemiology, Pulmonary and Respiratory Medicine, Oncology and Hepatology, having authored 49 papers that have together received 437 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Pancreatic and Hepatic Oncology Research (11 papers), Esophageal and GI Pathology (10 papers), Pancreatitis Pathology and Treatment (8 papers), Hepatitis B Virus Studies (6 papers), Gallbladder and Bile Duct Disorders (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and Hepatitis C virus research (5 papers). The work is most often cited by research in Hepatology (135 citations), Oncology (202 citations), Surgery (237 citations), Epidemiology (166 citations) and Pulmonary and Respiratory Medicine (148 citations). Shaffer Mok has collaborated with scholars based in United States, China and France. Frequent co-authors include David L. Diehl, Harshit S. Khara, Amitpal S. Johal, Bradley Confer, Adam Elfant, Prashant Mudireddy, H. Lester Kirchner, Henry C. Ho, John P. Gaughan and Thomas Judge. Their work appears in journals such as Cochrane Database of Systematic Reviews, Gastrointestinal Endoscopy, The American Journal of Gastroenterology, Annals of Surgical Oncology and Annals of Translational Medicine.

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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