Grace Kim

21.3k total citations · 4 hit papers
193 papers, 10.7k citations indexed

About

Grace Kim is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, Grace Kim has authored 193 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Oncology, 57 papers in Surgery and 49 papers in Epidemiology. Recurrent topics in Grace Kim's work include Pancreatic and Hepatic Oncology Research (35 papers), Neuroendocrine Tumor Research Advances (21 papers) and Pancreatitis Pathology and Treatment (11 papers). Grace Kim is often cited by papers focused on Pancreatic and Hepatic Oncology Research (35 papers), Neuroendocrine Tumor Research Advances (21 papers) and Pancreatitis Pathology and Treatment (11 papers). Grace Kim collaborates with scholars based in United States, Japan and Türkiye. Grace Kim's co-authors include Margaret A. Tempero, Morgan Truitt, Douglas Hanahan, Peter Olson, Michael K. Skinner, Andrew H. Ko, Jeff A. Parrott, Eric A. Collisson, William J. Gibb and Joe W. Gray and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Grace Kim

180 papers receiving 10.5k citations

Hit Papers

Subtypes of pancreatic ductal adenocarcinoma and their di... 2011 2026 2016 2021 2011 2020 2012 2015 250 500 750 1000

Peers

Grace Kim
Comparison fields: 5 of 176
  • Oncology 3.9k
  • Molecular Biology 3.7k
  • Cancer Research 2.4k
  • Surgery 1.9k
  • Epidemiology 1.9k
Replace Gerardo Botti with:
Gerardo Botti Italy
Jochen K. Lennerz United States
Tim Beißbarth Germany
Jae‐Weon Kim South Korea
Heidi L. Weiss United States
Maria Tretiakova United States
Manish K. Aghi United States
Taofeek K. Owonikoko United States
Víctor G. Prieto United States
Paul J. Zhang United States
Gerardo Botti Italy View profile →
Citations per field, relative to Grace Kim
Grace Kim · 1×
Citations per year, relative to Grace Kim
Grace Kim · 1×

Countries citing papers authored by Grace Kim

Since Specialization
Citations

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

Fields of papers citing papers by Grace Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Grace Kim. A scholar is included among the top collaborators of Grace Kim 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 Grace Kim. Grace Kim 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
# Work Indexed citations
1 0
2 1
3 0
4 4
5 6
6 0
7 1
8 0
9 3
10 25
11 10
12 34
13 49
14 31
15
Bruton Tyrosine Kinase–Dependent Immune Cell Cross-talk Drives Pancreas Cancer breakdown →
381
16 36
17 51
18 54
19
Peripheral T-cell lymphoma in an adolescent with unsuspected gaucher disease
6
20 57

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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