Ren‐Ching Wang

49 papers receiving 482 citations

Peers

Ren‐Ching Wang
Comparison fields: 5 of 65
  • Hematology 103
  • Pathology and Forensic Medicine 139
  • Dermatology 45
  • Oncology 129
  • Immunology 85
Replace KC Lakshmaiah with:
KC Lakshmaiah India
Sinan Yavuz Türkiye
D. Rontogianni Greece
Bryan Rea United States
Annarosa Cuccaro Italy
Mónica Jiménez Spain
Chang‐Tsu Yuan Taiwan
Liang‐Tsai Hsiao Taiwan
Pierre Brousset France
Eva D. Papadimitraki Greece
Ren‐Ching Wang relative to KC Lakshmaiah India KC Lakshmaiah's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ren‐Ching Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ren‐Ching Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ren‐Ching Wang. 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 Ren‐Ching Wang. The network helps show where Ren‐Ching Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201358
2 200454
3 201142
4 200937
5 201529
6 201625
7 201320
8
Spectrum of Epstein-Barr virus-associated T-cell lymphoproliferative disorder in adolescents and young adults in Taiwan.
201419
9 201318
10 201916
11 201616
12 202114
13 202213
14 201311
15 201810
16 20178
17 20178
18 20087
19 20197
20 20166

About Ren‐Ching Wang

Ren‐Ching Wang is a scholar working on Pathology and Forensic Medicine, Oncology, Surgery, Immunology and Rheumatology, having authored 54 papers that have together received 498 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (20 papers), Viral-associated cancers and disorders (11 papers), Eosinophilic Disorders and Syndromes (5 papers), Immune Cell Function and Interaction (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Fungal Infections and Studies (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Gastrointestinal Tumor Research and Treatment (3 papers). The work is most often cited by research in Hematology (103 citations), Pathology and Forensic Medicine (139 citations), Dermatology (45 citations), Oncology (129 citations) and Immunology (85 citations). Ren‐Ching Wang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chieh‐Lin Jerry Teng, Shih‐Sung Chuang, Wen‐Li Hwang, Youngsen Yang, Tsung‐Ying Yang, Kuang‐Hsi Chang, Kun‐Chieh Chen, Kai‐Li Liang, Gee‐Chen Chang and Rong‐San Jiang. Their work appears in journals such as The American Journal of Surgical Pathology, Pathology, Pathology International, Diagnostic Cytopathology and International Forum of Allergy & Rhinology.

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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