Dapeng Wang

1.8k citations
44 papers · 1.4k indexed · h-index 19

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Hematopoietic Stem Cell Transplantation 6
    • Glioma Diagnosis and Treatment 4

Dapeng Wang

43 papers receiving 1.3k citations

Peers

Dapeng Wang
Comparison fields: 5 of 90
  • Immunology 571
  • Hematology 241
  • Genetics 220
  • Sensory Systems 69
  • Oncology 288
Replace Jae-Hung Shieh with:
Jae-Hung Shieh United States
Sandra Mifsud Australia
Marina R. Carpinelli Australia
Akitomo Miyamoto Japan
Ayako Nakamura‐Ishizu Japan
Thomas P. Condon United States
Sophia K. Khaldoyanidi United States
Zahava Vadasz Israel
Zhilan Hu United States
David A. Wilcox United States
Dapeng Wang relative to Jae-Hung Shieh United States Jae-Hung Shieh's profile →
Citations per field
00.5×10×13.8×
Jae-Hung Shieh · 1×
Citations per year

Countries citing papers authored by Dapeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dapeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20232
3 20239
4 20222
5 20228
6 202110
7 20199
8 2018124
9 201724
10 201671
11 201358
12 201222
13 201141
14 201111
15 200688
16 200421
17 199818
18 199413
19 199343
20 199237

About Dapeng Wang

Dapeng Wang is a scholar working on Hematology, Genetics, Immunology, Pathology and Forensic Medicine and Cancer Research, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (6 papers), Histone Deacetylase Inhibitors Research (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), T-cell and B-cell Immunology (6 papers), Glioma Diagnosis and Treatment (4 papers), Epigenetics and DNA Methylation (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Immunology (571 citations), Hematology (241 citations), Genetics (220 citations), Sensory Systems (69 citations) and Oncology (288 citations). Dapeng Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Xue‐Zhong Yu, Claudio Anasetti, Holger M. Reichardt, Kane Kaosaard, Yu Yu, Chen Liu, Kenrick Semple, Kirsty McPherson, Nora Müller and Jens van den Brandt. Their work appears in journals such as Blood, The Journal of Immunology, Scientific Reports, Biology of Blood and Marrow Transplantation and Current Drug Delivery.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026