Think‐You Kim

671 citations
19 papers · 309 · h-index 5

Impact in

Papers in

Think‐You Kim

15 papers receiving 303 citations

Peers

Think‐You Kim
Comparison fields: 5 of 68
  • Developmental Neuroscience 57
  • Behavioral Neuroscience 45
  • Rheumatology 71
  • Immunology 70
  • Oncology 80
Replace George Katsamakis with:
George Katsamakis United States
J Scott Sloka Canada
Jean‐Luc Carré France
Helen Paraskevakou Greece
Markus Breu Austria
Michelangelo Corcelli United Kingdom
Annalisa Pulizzi Italy
Reinhard Reuß Germany
S C Cwyfan-Hughes United Kingdom
Nuhad Abou Zeid United States
Think‐You Kim relative to George Katsamakis United States George Katsamakis's profile →
Citations per field
00.5×
George Katsamakis · 1×
Citations per year

Countries citing papers authored by Think‐You Kim

Since Specialization
Citations

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

Fields of papers citing papers by Think‐You Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Think‐You 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 Think‐You Kim Line = papers co-authored together Think‐You Kim links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2004120
2 201081
3 200456
4 200229
5
Evaluation of Genedia HBsAg Rapid and Genedia Anti-HBs Rapid for the Screening of HBsAg and Anti-HBs
19995
6 19994
7 20123
8 20113
9 20192
10
Autologous Hematopoietic Stem Cell Transplantation in Patients with Refractory Systemic Lupus Erythematosus
20031
11 20151
12 20131
13 20111
14
A New Digital Image Processing Technique for Mixed Pattern Analysis of Anti-neutrophil Cytoplasmic Antibody Test
20041
15 20141
16
Reevaluation of Antineutrophil Cytoplasmic Antibodies
20040
17 20140
18 19970
19 20170

About Think‐You Kim

Think‐You Kim is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Hematology and Immunology, having authored 19 papers that have together received 309 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (7 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Systemic Sclerosis and Related Diseases (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Blood groups and transfusion (2 papers), Cell Image Analysis Techniques (1 paper) and Cystic Fibrosis Research Advances (1 paper). The work is most often cited by research in Developmental Neuroscience (57 citations), Behavioral Neuroscience (45 citations), Rheumatology (71 citations), Immunology (70 citations) and Oncology (80 citations). Think‐You Kim has collaborated with scholars based in South Korea and United States. Frequent co-authors include Yong‐Sung Lee, Ju Hee Kim, Byung‐Hwan Yang, Hyeon Son, Sang‐Cheol Bae, Hyoung Doo Shin, Lyoung Hyo Kim, Byung Lae Park, Hye‐Soon Lee and Dae‐Hyun Yoo. Their work appears in journals such as Journal of Korean Medical Science, Clinica Chimica Acta, Archives of Pathology & Laboratory Medicine, Human Molecular Genetics and Brain Research.

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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