Sean Chang

1.5k citations
29 papers · 1.2k · h-index 18

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 10
    • Chronic Kidney Disease and Diabetes 2
    • Renal Diseases and Glomerulopathies 2

Sean Chang

28 papers receiving 1.1k citations

Peers

Sean Chang
Comparison fields: 5 of 79
  • Transplantation 438
  • Biological Psychiatry 72
  • Nephrology 144
  • Behavioral Neuroscience 38
  • Obstetrics and Gynecology 60
Replace Dominik Steubl with:
Dominik Steubl Germany
Marc van der Planken Belgium
Pramod K. Mohanty United States
Seth T. Lirette United States
Christine Maric‐Bilkan United States
Tess E Cooper Australia
Xin-Qun Wang United States
Juan C. Kupferman United States
In‐Gu Jun South Korea
P.B.S. Fowler United Kingdom
Sean Chang relative to Dominik Steubl Germany Dominik Steubl's profile →
Citations per field
00.5×10×12.9×
Dominik Steubl · 1×
Citations per year

Countries citing papers authored by Sean Chang

Since Specialization
Citations

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

Fields of papers citing papers by Sean Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010176
2 2007161
3 2010136
4 2009112
5 200775
6 200769
7 200862
8 200854
9 201039
10 201033
11 200730
12 200927
13 201125
14 199923
15 202021
16 200718
17 200817
18 200917
19 200714
20 200814

About Sean Chang

Sean Chang is a scholar working on Transplantation, Nephrology, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (10 papers), Chronic Kidney Disease and Diabetes (2 papers), CAR-T cell therapy research (2 papers), Renal Diseases and Glomerulopathies (2 papers), Complement system in diseases (2 papers), Heat Transfer and Optimization (1 paper), Cutaneous Melanoma Detection and Management (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Transplantation (438 citations), Biological Psychiatry (72 citations), Nephrology (144 citations), Behavioral Neuroscience (38 citations) and Obstetrics and Gynecology (60 citations). Sean Chang has collaborated with scholars based in Australia, United States and Malaysia. Frequent co-authors include Stephen P. McDonald, Steven J. Chadban, Patrick T. Coates, Hannah Dent, Vicki Levidiotis, Graeme R. Russ, Helen Pilmore, Emmanuel Villar, Scott B. Campbell and Jim Mintz. Their work appears in journals such as Transplantation, Human Immunology, Journal of the American Society of Nephrology, American Journal of Transplantation and Numerical Heat Transfer Part A Applications.

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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