Linda M. Pak

1.2k citations
45 papers · 698 indexed · h-index 15
Topics
Radiomics and Machine Learning in Medical Imaging (11 papers)Pancreatic and Hepatic Oncology Research (10 papers)Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Linda M. Pak

45 papers receiving 691 citations

Peers

Linda M. Pak
Comparison fields: 5 of 75
  • Surgery 367
  • Oncology 272
  • Hepatology 215
  • Pulmonary and Respiratory Medicine 200
  • Radiology, Nuclear Medicine and Imaging 136
Replace Antonio Crucitti with:
Antonio Crucitti Italy
Jillian K. Smith United States
Philip C. Müller Switzerland
Sonia T. Orcutt United States
Teresa Tong Hong Kong
Iakovos Amygdalos Germany
Éric Terrebonne France
Raphael L. C. Araújo Brazil
Kosei Takagi Japan
Adeel Khan United States
Linda M. Pak relative to Antonio Crucitti Italy Antonio Crucitti's profile →
Citations per field
00.5×2.5×
Antonio Crucitti · 1×
Citations per year

Countries citing papers authored by Linda M. Pak

Since Specialization
Citations

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

Fields of papers citing papers by Linda M. Pak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda M. Pak. 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 Linda M. Pak. The network helps show where Linda M. Pak may publish in the future.

Co-authorship network of co-authors of Linda M. Pak

This figure shows the co-authorship network connecting the top 25 collaborators of Linda M. Pak. A scholar is included among the top collaborators of Linda M. Pak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linda M. Pak. Linda M. Pak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 12
3 2
4 7
5 2
6 6
7 12
8 47
9 8
10 32
11 3
12 2
13 4
14 21
15 18
16 16
17 9
18 14
19 45
20 10

About Linda M. Pak

Linda M. Pak is a scholar working on Hepatology, Oncology and Cancer Research, having authored 45 papers that have together received 698 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (11 papers), Pancreatic and Hepatic Oncology Research (10 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers). The work is most often cited by research in Hepatology (215 citations), Oncology (272 citations) and Surgery (367 citations). Linda M. Pak has collaborated with scholars based in United States, Canada and China. Frequent co-authors include William R. Jarnagin, Amber L. Simpson, T. Peter Kingham, Richard Kinh Gian, Peter J. Allen, Michael I. D’Angelica, Ronald P. DeMatteo, Vinod P. Balachandran, Mithat Gönen and Jiping Wang. Their work appears in journals such as Journal of Clinical Oncology, Cancer and Annals of Surgery.

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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