Alfred H.J. Kim

5.6k citations
58 papers · 1.6k indexed · h-index 20
    • COVID-19 Clinical Research Studies 12
    • SARS-CoV-2 and COVID-19 Research 11
  • Immunology top 5%
    • Complement system in diseases 5
  • Nephrology top 5%
    • Renal Diseases and Glomerulopathies 5
    • Systemic Lupus Erythematosus Research 19
  • Virology top 5%
    • Autoimmune and Inflammatory Disorders Research 10
    • Long-Term Effects of COVID-19 5
    • Peripheral Neuropathies and Disorders 4

Alfred H.J. Kim

52 papers receiving 1.6k citations

Peers

Alfred H.J. Kim
Comparison fields: 5 of 107
  • Infectious Diseases 559
  • Immunology 594
  • Nephrology 184
  • Rheumatology 320
  • Virology 80
Replace Daniëlle Cohen with:
Daniëlle Cohen Netherlands
Vaishali R. Moulton United States
Bonnie L. Bermas United States
Rubén D. Mantilla Colombia
Nicolle H. R. Litjens Netherlands
Francesco Giudici Italy
Tú-Anh Tran France
Anete Sevciovic Grumach Brazil
Samuel H. Pepkowitz United States
Alessandra Vultaggio Italy
Alfred H.J. Kim relative to Daniëlle Cohen Netherlands Daniëlle Cohen's profile →
Citations per field
00.5×4.2×
Daniëlle Cohen · 1×
Citations per year

Countries citing papers authored by Alfred H.J. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Alfred H.J. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20250
5 202313
6 20239
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8 20231
9 20226
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11 20219
12 20211
13 20213
14 202039
15 20201
16 201751
17 20162
18 201516
19 201319
20 200486

About Alfred H.J. Kim

Alfred H.J. Kim is a scholar working on Rheumatology, Immunology and Hematology, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (19 papers), COVID-19 Clinical Research Studies (12 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Autoimmune and Inflammatory Disorders Research (10 papers), Renal Diseases and Glomerulopathies (5 papers), Complement system in diseases (5 papers), Long-Term Effects of COVID-19 (5 papers) and Peripheral Neuropathies and Disorders (4 papers). The work is most often cited by research in Infectious Diseases (559 citations), Immunology (594 citations) and Nephrology (184 citations). Alfred H.J. Kim has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jonathan J. Miner, Anuja Java, John Atkinson, Ariella Coler‐Reilly, M. Kathryn Liszewski, Hrishikesh S. Kulkarni, Anthony J. Apicelli, Peter D. Katsikis, Yvonne M. Mueller and John D. Altman. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

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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