Po-Nan Wang

503 total citations
10 papers, 126 citations indexed

About

Po-Nan Wang is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, Po-Nan Wang has authored 10 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 3 papers in Oncology and 3 papers in Immunology. Recurrent topics in Po-Nan Wang's work include Acute Myeloid Leukemia Research (2 papers), Peptidase Inhibition and Analysis (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Po-Nan Wang is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Peptidase Inhibition and Analysis (2 papers) and Multiple Myeloma Research and Treatments (2 papers). Po-Nan Wang collaborates with scholars based in Taiwan, China and Singapore. Po-Nan Wang's co-authors include Hung‐Hsueh Chou, Chyong‐Huey Lai, Ting-Chang Chang, Tzu-I Wu, Swei Hsueh, Angel Chao, Hung Chang, Hung‐Chih Hsu, Tran‐Der Tan and Wen‐Chi Chou and has published in prestigious journals such as Gynecologic Oncology, Bone Marrow Transplantation and Biology of Blood and Marrow Transplantation.

In The Last Decade

Po-Nan Wang

9 papers receiving 125 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Po-Nan Wang Taiwan 6 69 67 26 23 19 10 126
Nadia Raban France 7 23 0.3× 47 0.7× 62 2.4× 7 0.3× 19 1.0× 17 145
Carla Renata Pacheco Donato Macedo Brazil 7 45 0.7× 12 0.2× 22 0.8× 17 0.7× 17 0.9× 16 121
C. Beard United States 4 43 0.6× 42 0.6× 60 2.3× 49 2.1× 13 0.7× 8 160
Hope Feldman United States 8 130 1.9× 17 0.3× 32 1.2× 30 1.3× 25 1.3× 27 224
Jérémie Tordo France 7 22 0.3× 16 0.2× 38 1.5× 11 0.5× 4 0.2× 24 116
Ralf Witthuhn Germany 4 251 3.6× 50 0.7× 34 1.3× 39 1.7× 6 0.3× 11 274
E. Razis Greece 5 26 0.4× 19 0.3× 27 1.0× 7 0.3× 2 0.1× 20 76
Esther Oliva United States 2 148 2.1× 93 1.4× 9 0.3× 14 0.6× 6 0.3× 6 257
Anmol Baranwal United States 6 19 0.3× 29 0.4× 26 1.0× 3 0.1× 11 0.6× 24 196
Ninghai Cheng China 9 41 0.6× 119 1.8× 22 0.8× 4 0.2× 21 1.1× 32 262

Countries citing papers authored by Po-Nan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Po-Nan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Po-Nan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Po-Nan Wang. A scholar is included among the top collaborators of Po-Nan 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 Po-Nan Wang. Po-Nan Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Chien, Sheng‐Hsuan, Ming Yao, Chi-Cheng Li, et al.. (2021). Charlson comorbidity index predicts outcomes of elderly after allogeneic hematopoietic stem cell transplantation for acute myeloid leukemia and myelodysplastic syndrome. Journal of the Formosan Medical Association. 120(12). 2144–2152. 7 indexed citations
3.
Tan, Tran‐Der, et al.. (2020). Lenalidomide with Dexamethasone to Multiple Myeloma Patients Relapsing from Bortezomib-Based Induction Therapies. The Chinese Journal of Physiology. 63(5). 211–217. 2 indexed citations
4.
Hsu, Ya‐Ting, Hui‐Jen Tsai, Jeffrey S. Chang, et al.. (2018). Stem cell transplantation for T-cell lymphomas in Taiwan. Bone Marrow Transplantation. 53(8). 993–1000. 3 indexed citations
5.
Huang, Shang‐Yi, Ming Yao, Chen-Yuan Lin, et al.. (2018). Autologous stem cell transplantation in multiple myeloma: Post-transplant outcomes of Taiwan Blood and Marrow Transplantation Registry. Journal of the Formosan Medical Association. 118(1). 471–480. 3 indexed citations
6.
Chou, Wen‐Chi, Tai‐Di Chen, Tse-Ching Chen, et al.. (2014). Prognostic Factors in Adult Patients with Solid Cancers and Bone Marrow Metastases. Asian Pacific Journal of Cancer Prevention. 15(1). 61–67. 22 indexed citations
7.
Dunn, Po, Che‐Wei Ou, Lee‐Yung Shih, et al.. (2014). Primary breast lymphoma: A single-institute experience in Taiwan. Biomedical Journal. 37(5). 321–321. 8 indexed citations
8.
Ko, Bor‐Sheng, Cheng-Shyong Chang, Ming-Chih Chang, et al.. (2014). Guidelines for treating iron overload in myelodysplastic syndromes: a Taiwan consensus statement. International Journal of Hematology. 100(1). 7–15. 7 indexed citations
9.
Wang, Tso-Fu, He Huang, Cheng‐Hwai Tzeng, et al.. (2012). Impact of Donor Characteristics and HLA Matching on Survival of Chinese Patients with Hematologic Malignancies Undergoing Unrelated Hematopoietic Stem Cell Transplantation. Biology of Blood and Marrow Transplantation. 18(12). 1939–1944. 5 indexed citations
10.
Lai, Chyong‐Huey, Ting-Chang Chang, Swei Hsueh, et al.. (2004). Outcome and prognostic factors in ovarian germ cell malignancies. Gynecologic Oncology. 96(3). 784–791. 69 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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