Jeff Kim

22 papers receiving 783 citations

Peers

Jeff Kim
Comparison fields: 5 of 76
  • Radiation 260
  • Oncology 526
  • Hepatology 101
  • Genetics 121
  • Cancer Research 167
Replace Avani Satish Dholakia with:
Avani Satish Dholakia United States
Jonathan Pai United States
Claudia Christman-Skieller United States
P. Fenoglietto France
Florence Castan France
Minghuan Li China
Stella Lymberis United States
Stephanie Markovina United States
Irini Karapanagiotou‐Schenkel Germany
Cheng‐Hsiang Lo Taiwan
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Citations per field
00.5×1.7×
Avani Satish Dholakia · 1×
Citations per year

Countries citing papers authored by Jeff Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009291
2 2011185
3 2010121
4 2010102
5 202023
6 200618
7 201112
8 20215
9 20245
10 20175
11
Program Assessment in an Undergraduate Information Systems Program: Prospects for Curricular and Programmatic Enhancement
20024
12 20124
13 20223
14 20183
15 20203
16 20172
17 20172
18 20212
19 20091
20 20241

About Jeff Kim

Jeff Kim is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering, Genetics and Rheumatology, having authored 25 papers that have together received 794 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Otitis Media and Relapsing Polychondritis (3 papers), Advancements in Semiconductor Devices and Circuit Design (3 papers), Vascular Anomalies and Treatments (3 papers), BIM and Construction Integration (3 papers), Silicon Carbide Semiconductor Technologies (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Semiconductor materials and devices (2 papers). The work is most often cited by research in Radiation (260 citations), Oncology (526 citations), Hepatology (101 citations), Genetics (121 citations) and Cancer Research (167 citations). Jeff Kim has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Daniel T. Chang, Albert C. Koong, Devin Schellenberg, Andrew Quon, James M. Ford, George A. Fisher, Karyn A. Goodman, Terry S. Desser, Claudia Christman-Skieller and John Shen. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cancer, Gastrointestinal Endoscopy, Lara D. Veeken and Automation in Construction.

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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