Gloria Kim

959 total citations
38 papers, 604 citations indexed

About

Gloria Kim is a scholar working on Surgery, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Gloria Kim has authored 38 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 11 papers in Pathology and Forensic Medicine and 6 papers in Rheumatology. Recurrent topics in Gloria Kim's work include Multiple Sclerosis Research Studies (11 papers), Peripheral Artery Disease Management (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Gloria Kim is often cited by papers focused on Multiple Sclerosis Research Studies (11 papers), Peripheral Artery Disease Management (6 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). Gloria Kim collaborates with scholars based in United States, Colombia and Mexico. Gloria Kim's co-authors include Shahamat Tauhid, Rohit Bakshi, Koji Muteki, Weili Yu, Lin Zhang, Brian C. Healy, Jessica Jeffrey, Renxin Chu, Tony Kuo and Rebecca A. Dumont and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and PLoS ONE.

In The Last Decade

Gloria Kim

35 papers receiving 587 citations

Peers

Gloria Kim
Comparison fields: 5 of 98
  • Pathology and Forensic Medicine 194
  • Molecular Biology 152
  • Cancer Research 80
  • Public Health, Environmental and Occupational Health 76
  • Emergency Medical Services 70
Replace Junjie Chen with:
Junjie Chen China
Yung-An Tsou Taiwan
Yavor Enchev Bulgaria
Hidetaka Miyazaki Japan
Paul Chatrath United Kingdom
Jacob L. Goldberg United States
Yan Michael Li United States
Marco Agrifoglio Italy
Ching‐Chang Ko United States
Ryan Ramanujam Sweden
Junjie Chen China View profile →
Citations per field, relative to Gloria Kim
Gloria Kim · 1×
Citations per year, relative to Gloria Kim
Gloria Kim · 1×

Countries citing papers authored by Gloria Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gloria Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gloria Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Gloria Kim. A scholar is included among the top collaborators of Gloria 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 Gloria Kim. Gloria 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 1
2 1
3 1
4 5
5 0
6 16
7 1
8 2
9 18
10 2
11 1
12 2
13 16
14 9
15 9
16 2
17 2
18 21
19 16
20 20

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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