S. Wee

699 citations
23 papers · 601 · h-index 13

Impact in

    • Renal Transplantation Outcomes and Treatments
    • Organ and Tissue Transplantation Research
  • Immunology top 10%
    • T-cell and B-cell Immunology

Papers in

S. Wee

23 papers receiving 566 citations

Peers

S. Wee
Comparison fields: 5 of 37
  • Transplantation 186
  • Immunology 236
  • Surgery 216
  • Hematology 55
  • Immunology and Allergy 13
Replace Roxanne E. Baumgartner with:
Roxanne E. Baumgartner United States
Svetlan Boskovic United States
S R Waitze United States
Jérémy Hervouet France
NICHOLAS W. PEARCE Australia
Marina Guillet France
David Minault France
David F. Pinelli United States
Wenruo Han Australia
C A Olson United States
S. Wee relative to Roxanne E. Baumgartner United States Roxanne E. Baumgartner's profile →
Citations per field
00.5×2×3.3×
Roxanne E. Baumgartner · 1×
Citations per year

Countries citing papers authored by S. Wee

Since Specialization
Citations

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

Fields of papers citing papers by S. Wee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004172
2 199356
3 199641
4 200135
5 199934
6 200133
7 199529
8 199526
9 199826
10 200626
11 198925
12 198121
13 199717
14 201113
15 198211
16 199810
17 19849
18 19848
19 19934
20 19942

About S. Wee

S. Wee is a scholar working on Transplantation, Immunology, Surgery, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 23 papers that have together received 601 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (16 papers), T-cell and B-cell Immunology (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Transplantation: Methods and Outcomes (3 papers), Xenotransplantation and immune response (2 papers), vaccines and immunoinformatics approaches (1 paper), Pancreatic function and diabetes (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Transplantation (186 citations), Immunology (236 citations), Surgery (216 citations), Hematology (55 citations) and Immunology and Allergy (13 citations). S. Wee has collaborated with scholars based in United States and France. Frequent co-authors include A. Benedict Cosimi, Robert B. Colvin, Tatsuo Kawai, David H. Sachs, Svetlan Boskovic, Hiroshi Sogawa, O. Nadazdin, Megan Sykes, Ichiro Koyama and James D. Eason. Their work appears in journals such as Transplantation, Human Immunology, American Journal of Transplantation, Xenotransplantation 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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