Susan Wan

2.8k citations
30 papers · 1.5k indexed · h-index 14

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 5
    • Renal Diseases and Glomerulopathies 3
    • Renal function and acid-base balance 2

Susan Wan

30 papers receiving 1.5k citations

Peers

Susan Wan
Comparison fields: 5 of 86
  • Internal Medicine 368
  • Transplantation 119
  • Critical Care and Intensive Care Medicine 100
  • Oncology 521
  • Surgery 644
Replace David P. Kapelanski with:
David P. Kapelanski United States
Matteo Tozzi Italy
Patrizio Castelli Italy
Darren B. Schneider United States
Jerry Koutts Australia
Karina Althaus Germany
Seung Huh South Korea
Ian M. Penn Canada
A. Hernigou France
Ricardo Paz‐Fumagalli United States
Susan Wan relative to David P. Kapelanski United States David P. Kapelanski's profile →
Citations per field
00.5×4.1×
David P. Kapelanski · 1×
Citations per year

Countries citing papers authored by Susan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Susan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202510
3 20252
4 20248
5 20231
6 201923
7 2018108
8 2017303
9 20175
10 20161
11 20151
12 20141
13 201443
14 2010278
15 200931
16 200888
17 2004377
18 20038
19 200071
20 199963

About Susan Wan

Susan Wan is a scholar working on Transplantation, Nephrology, Internal Medicine, Applied Microbiology and Biotechnology and Hepatology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (5 papers), Colorectal and Anal Carcinomas (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Renal Diseases and Glomerulopathies (3 papers), Lung Cancer Treatments and Mutations (3 papers), Atrial Fibrillation Management and Outcomes (2 papers), Renal function and acid-base balance (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Internal Medicine (368 citations), Transplantation (119 citations), Critical Care and Intensive Care Medicine (100 citations), Oncology (521 citations) and Surgery (644 citations). Susan Wan has collaborated with scholars based in United Kingdom, Australia and China. Frequent co-authors include John W. Eikelboom, Daniel J. Quinlan, Giancarlo Agnelli, David Sebag‐Montefiore, Helen Meadows, Rob Glynne‐Jones, John Northover, JA Ledermann, R.D. James and Mark Jitlal. Their work appears in journals such as Journal of Clinical Oncology, Transplant International, Transplantation, Chemical Engineering Journal and International Journal of Radiation Oncology*Biology*Physics.

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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