X‐J Wang

480 total citations
12 papers, 259 citations indexed

About

X‐J Wang is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, X‐J Wang has authored 12 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in X‐J Wang's work include TGF-β signaling in diseases (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Neural dynamics and brain function (1 paper). X‐J Wang is often cited by papers focused on TGF-β signaling in diseases (3 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Neural dynamics and brain function (1 paper). X‐J Wang collaborates with scholars based in United States, China and Singapore. X‐J Wang's co-authors include Stephen P. Malkoski, R. A. White, Philip Owens, Xin Xu, Wenhui Qiao, C-X Deng, Allen Li, Timothy G. Cleaver, Joshua J. Thompson and Sarah M. Haeger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Oncogene.

In The Last Decade

X‐J Wang

12 papers receiving 256 citations

Peers

X‐J Wang

MB

ONCOL

CR

IMMUN

DERMA

Emily Kay United Kingdom

Jennifer M. Huang United States

Renaud Leclère France

Ashvina Segaran United Kingdom

Kejie Li United States

Mengwen Zhang China

Sally D. Pennypacker United States

Xiumao Li China

Mengyao Qian China

Joy Armistead Germany

Emily Kay United Kingdom

X‐J Wang

108 ×0.7

MB

47 ×0.6

ONCOL

31 ×0.7

CR

33 ×1.1

IMMUN

20 ×0.8

DERMA

Citations per year, relative to X‐J Wang X‐J Wang (= 1×) peers Emily Kay

Countries citing papers authored by X‐J Wang

Since Specialization

Citations

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

Fields of papers citing papers by X‐J Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of X‐J Wang

This figure shows the co-authorship network connecting the top 25 collaborators of X‐J Wang. A scholar is included among the top collaborators of X‐J Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with X‐J Wang. X‐J Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Guo, Junfeng, et al.. (2023). Molecular docking and network pharmacological analysis of Scutellaria baicalensis against renal cell carcinoma.. PubMed. 27(23). 11574–11586. 1 indexed citations

2.

Gao, Qin‐Yan, et al.. (2021). Efficacy and safety of IL-17 inhibitors for patients with psoriatic arthritis: a systematic review and meta-analysis. SHILAP Revista de lepidopterología. 4 indexed citations

3.

Bao, Junzhe, et al.. (2016). Can the Medical-nursing Combined Care Promote the Accessibility of Health Services for the Elderly in Nursing Home? A Study Protocol of Analysis of the Effectiveness Regarding Health Service Utilization, Health Status and Satisfaction with Care. West Indian Medical Journal. 64(5). 514–520. 1 indexed citations

4.

Haeger, Sarah M., Joshua J. Thompson, Timothy G. Cleaver, et al.. (2015). Smad4 loss promotes lung cancer formation but increases sensitivity to DNA topoisomerase inhibitors. Oncogene. 35(5). 577–586. 35 indexed citations

5.

Wang, X‐J, Mabel Wong, Li Yang Hsu, & Alexandre Chan. (2014). Economic Burden of Febrile Neutropenia in Solid Tumor and Lymphoma Patients: An Observational Study in Singapore. Value in Health. 17(7). A734–A734. 3 indexed citations

6.

Wang, X‐J, et al.. (2012). Abstract P2-05-05: Circulating HER2 extracellular domain (ECD) predicts a poor prognosis for metastatic breast cancer patients. Cancer Research. 72(24_Supplement). P2–5. 2 indexed citations

7.

White, R. A., Stephen P. Malkoski, & X‐J Wang. (2010). TGFβ signaling in head and neck squamous cell carcinoma. Oncogene. 29(40). 5437–5446. 76 indexed citations

8.

Geng, Jianghui, Wesley Tang, Xiaoxia Wan, et al.. (2008). Photoprotection of bacterial‐derived melanin against ultraviolet A–induced cell death and its potential application as an active sunscreen. Journal of the European Academy of Dermatology and Venereology. 22(7). 852–858. 29 indexed citations

9.

Wang, X‐J. (2006). Toward a Prefrontal Microcircuit Model for Cognitive Deficits in Schizophrenia. Pharmacopsychiatry. 39. 80–87. 26 indexed citations

10.

Qiao, Wenhui, Allen Li, Philip Owens, et al.. (2005). Hair follicle defects and squamous cell carcinoma formation in Smad4 conditional knockout mouse skin. Oncogene. 25(2). 207–217. 79 indexed citations

11.

Han, Gangwen, et al.. (2004). 036 Overexpression of Smad7 in Keratinocytes Accelerates Cutaneous Wound Healing. Wound Repair and Regeneration. 12(2). 1 indexed citations

12.

Wang, X‐J. (2002). The serum pharmacochemistry studies on Chinese medicine and its complex prescription. Medical Entomology and Zoology. 4. 1–4. 2 indexed citations

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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