Yuling Wang

636 citations
21 papers · 386 · h-index 8

Impact in

Papers in

    • Immunotherapy and Immune Responses 4
    • Galectins and Cancer Biology 2
    • T-cell and B-cell Immunology 2
    • Cancer Immunotherapy and Biomarkers 4

Yuling Wang

19 papers receiving 381 citations

Peers

Yuling Wang
Comparison fields: 5 of 90
  • Health Informatics 8
  • Immunology 103
  • Oncology 101
  • Pathology and Forensic Medicine 45
  • Endocrinology, Diabetes and Metabolism 41
Replace Francisco Chung with:
Francisco Chung United States
Toshihiro Yokoyama Japan
Xiaoyi Li China
Jichao Zhou China
Young‐Ri Shim South Korea
Peilun Ding China
Paulina Hennig Switzerland
Ekkehard May Germany
T S Kim South Korea
Airong Wu China
Yuling Wang relative to Francisco Chung United States Francisco Chung's profile →
Citations per field
00.5×10×
Francisco Chung · 1×
Citations per year

Countries citing papers authored by Yuling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201576
2 202175
3 201560
4 201653
5 201926
6 201918
7 202518
8 202116
9 20206
10 20155
11 20235
12 20135
13 20125
14 20144
15 20254
16 20243
17 20233
18 20222
19 20222
20 20250

About Yuling Wang

Yuling Wang is a scholar working on Immunology, Oncology, Molecular Biology, Infectious Diseases and Virology, having authored 21 papers that have together received 386 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (4 papers), Galectins and Cancer Biology (2 papers), T-cell and B-cell Immunology (2 papers), HIV/AIDS drug development and treatment (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), HIV Research and Treatment (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Health Informatics (8 citations), Immunology (103 citations), Oncology (101 citations), Pathology and Forensic Medicine (45 citations) and Endocrinology, Diabetes and Metabolism (41 citations). Yuling Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jeffrey E. Lee, Dawen Sui, Shenying Fang, Jeffrey E. Gershenwald, Merrick I. Ross, Janice N. Cormier, Sühendan Ekmekçioglu, Felipe Samaniego, Elizabeth A. Grimm and Keiji Tanese. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Clinical Oncology, Nurse Education in Practice, Carcinogenesis and Measurement.

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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