Dana Kim

620 citations
16 papers · 103 · h-index 4

Impact in

Papers in

    • Renal Diseases and Glomerulopathies 4
    • Chronic Kidney Disease and Diabetes 2
    • Dialysis and Renal Disease Management 2
    • Platelet Disorders and Treatments 3
    • Blood groups and transfusion 2

Dana Kim

11 papers receiving 103 citations

Peers

Dana Kim
Comparison fields: 5 of 52
  • Dermatology 39
  • Nephrology 11
  • Immunology and Allergy 8
  • Complementary and alternative medicine 8
  • Cancer Research 14
Replace Po‐Chang Wu with:
Po‐Chang Wu Taiwan
Pablo Javier Azurmendi Argentina
Francesco Masini Italy
S. Busco Italy
Shuji Horinouchi Japan
Iva Marković Germany
Miriam Mengoni Germany
Jason Chun Lao Australia
Laura Hernández-Hernández Spain
Jui-Cheng Tseng Taiwan
Dana Kim relative to Po‐Chang Wu Taiwan Po‐Chang Wu's profile →
Citations per field
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Po‐Chang Wu · 1×
Citations per year

Countries citing papers authored by Dana Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dana Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202143
2 201427
3 201415
4 20246
5 20253
6 20203
7 20232
8 20221
9 20201
10 20211
11 20251
12 20250
13 20250
14 20250
15 20160
16 20160

About Dana Kim

Dana Kim is a scholar working on Nephrology, Hematology, Pulmonary and Respiratory Medicine, Physiology and Molecular Biology, having authored 16 papers that have together received 103 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Platelet Disorders and Treatments (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Emergency and Acute Care Studies (2 papers), Blood groups and transfusion (2 papers), Dialysis and Renal Disease Management (2 papers), Probiotics and Fermented Foods (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Dermatology (39 citations), Nephrology (11 citations), Immunology and Allergy (8 citations), Complementary and alternative medicine (8 citations) and Cancer Research (14 citations). Dana Kim has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Carol A. Pollock, Michael Reiter, Georg Bartsch, Roman A. Blaheta, Axel Haferkamp, Eva Juengel, Chang‐Shin Park, Ju-Hee Kang, Igor Tsaur and Jasmina Makarević. Their work appears in journals such as Clinical Journal of the American Society of Nephrology, Clinical Kidney Journal, Scientific Reports, Kidney & Blood Pressure Research and Free Radical Biology and Medicine.

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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