Hank H. Yang

842 total citations
9 papers, 677 citations indexed

About

Hank H. Yang is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Hank H. Yang has authored 9 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Hank H. Yang's work include Multiple Myeloma Research and Treatments (6 papers), Peptidase Inhibition and Analysis (3 papers) and Protein Degradation and Inhibitors (3 papers). Hank H. Yang is often cited by papers focused on Multiple Myeloma Research and Treatments (6 papers), Peptidase Inhibition and Analysis (3 papers) and Protein Degradation and Inhibitors (3 papers). Hank H. Yang collaborates with scholars based in United States. Hank H. Yang's co-authors include James R. Berenson, Robert Vescio, Hans Mark, Julian Adams, Cibby Varkey Altamirano, Mitesh J. Borad, Nelida Sjak-Shie, Evanthia T. Roussos Torres, Malka Frantzen and Kimberly M. Parker and has published in prestigious journals such as Journal of Clinical Oncology, British Journal of Haematology and American Journal of Hematology.

In The Last Decade

Hank H. Yang

9 papers receiving 662 citations

Peers

Hank H. Yang
Comparison fields: 5 of 57
  • Molecular Biology 542
  • Hematology 476
  • Oncology 307
  • Cancer Research 57
  • Pathology and Forensic Medicine 33
Replace Tina M. Woo with:
Tina M. Woo United States
Denise Niewerth Netherlands
Catherine Godon France
Edmund C. Lee United States
Natalie D. Depcik‐Smith United States
Daniele Derudas Italy
Paola Panetta Italy
Lenka Bešše Switzerland
Nisha Shah United States
Ina van Zantwijk Netherlands
Tina M. Woo United States View profile →
Citations per field, relative to Hank H. Yang
Hank H. Yang · 1×
Citations per year, relative to Hank H. Yang
Hank H. Yang · 1×

Countries citing papers authored by Hank H. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hank H. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hank H. Yang. 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 Hank H. Yang. The network helps show where Hank H. Yang may publish in the future.

Co-authorship network of co-authors of Hank H. Yang

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

All Works

9 of 9 papers shown
# Work Indexed citations
1 2
2 25
3 15
4 31
5 166
6 20
7
The proteasome inhibitor PS-341 markedly enhances sensitivity of multiple myeloma tumor cells to chemotherapeutic agents.
342
8 72
9 4

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