Nicholas Chun

436 citations
17 papers · 193 · h-index 7

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Immune Cell Function and Interaction
    • Complement system in diseases
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Complement system in diseases 9
    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 5
    • Immune Response and Inflammation 2
    • Transplantation: Methods and Outcomes 3

Nicholas Chun

11 papers receiving 193 citations

Peers

Nicholas Chun
Comparison fields: 5 of 44
  • Transplantation 34
  • Immunology 143
  • Hematology 24
  • Nephrology 8
  • Oncology 20
Replace A. Canossi with:
A. Canossi Italy
I. Ségalen France
Justine Durand France
Melanie Brown United States
A. Parissiadis France
Sabrina Pengam France
Patricia Conde United States
Stephanie Fingerson United States
Sarah Thirkell United Kingdom
Francisco Salcido-Ochoa Singapore
Nicholas Chun relative to A. Canossi Italy A. Canossi's profile →
Citations per field
00.5×2.7×
A. Canossi · 1×
Citations per year

Countries citing papers authored by Nicholas Chun

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Chun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 200656
2 201737
3 201830
4 201825
5 201816
6 202111
7 202110
8 20195
9 20251
10 20241
11 20231
12 20240
13 20250
14 20220
15 20250
16 20250
17 20230

About Nicholas Chun

Nicholas Chun is a scholar working on Immunology, Surgery, Molecular Biology, Transplantation and Nephrology, having authored 17 papers that have together received 193 indexed citations. Recurring topics across this work include Complement system in diseases (9 papers), Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (5 papers), Renal Transplantation Outcomes and Treatments (5 papers), Transplantation: Methods and Outcomes (3 papers), Renal Diseases and Glomerulopathies (2 papers), Extracellular vesicles in disease (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Transplantation (34 citations), Immunology (143 citations), Hematology (24 citations), Nephrology (8 citations) and Oncology (20 citations). Nicholas Chun has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Peter S. Heeger, Robert L. Fairchild, William M. Baldwin, Francis J. Chrest, Trent M. Woodruff, Robert P. Wersto, Karen Madara, Miguel Fribourg, Kevin G. Becker and Larry Granger. Their work appears in journals such as JCI Insight, Kidney International Reports, American Journal of Transplantation, Clinical Kidney Journal and The Journal of Immunology.

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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