Hsieng S. Lu
Impact in
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
- Immunology and Allergy top 1%
Papers in
- Co-authors
- Thomas C. BooneYosef YardenKrisztina M. ZseboDuanzhi WenRaymond A. KoskiElior PelesSarah BacusKeith Langley
- Journals
- Archives of Biochemistry and Biophysics (8 papers)Journal of Biological Chemistry (6 papers)Journal of Chromatography A (5 papers)Cell (3 papers)Protein Science (3 papers)
- Partner nations
- United StatesIsraelTaiwan
In The Last Decade
Hsieng S. Lu
54 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Hematology 1.1k
- Immunology and Allergy 378
- Immunology 1.3k
- Oncology 1.6k
- Radiology, Nuclear Medicine and Imaging 820
Countries citing papers authored by Hsieng S. Lu
This map shows the geographic impact of Hsieng S. Lu'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 Hsieng S. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsieng S. Lu more than expected).
Fields of papers citing papers by Hsieng S. Lu
This network shows the impact of papers produced by Hsieng S. Lu. 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 Hsieng S. Lu. The network helps show where Hsieng S. Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsieng S. Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 18 | |
| 2 | 2011 | 16 | |
| 3 | 2010 | 44 | |
| 4 | 2009 | 2 | |
| 5 | 2000 | 11 | |
| 6 | 1999 | 55 | |
| 7 | 1998 | 45 | |
| 8 | 1998 | 31 | |
| 9 | 1996 | 7 | |
| 10 | 1996 | 15 | |
| 11 | 1996 | 14 | |
| 12 | 1996 | 42 | |
| 13 | 1995 | 38 | |
| 14 | 1995 | 38 | |
| 15 | 1994 | 202 | |
| 16 | Neu differentiation factor: A transmembrane glycoprotein containing an EGF domain and an immunoglobulin homology unit Hit paper breakdown → | 1992 | 504 |
| 17 | 1992 | 453 | |
| 18 | 1990 | 14 | |
| 19 | 1989 | 82 | |
| 20 | 1988 | 26 |
About Hsieng S. Lu
Hsieng S. Lu is a scholar working on Microbiology, Hematology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 54 papers that have together received 5.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (13 papers), Glycosylation and Glycoproteins Research (9 papers), Virus-based gene therapy research (6 papers), HER2/EGFR in Cancer Research (6 papers), RNA Interference and Gene Delivery (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Hematology (1.1k citations), Immunology and Allergy (378 citations), Immunology (1.3k citations), Oncology (1.6k citations) and Radiology, Nuclear Medicine and Imaging (820 citations). Hsieng S. Lu has collaborated with scholars based in United States, Israel and Taiwan. Frequent co-authors include Thomas C. Boone, Yosef Yarden, Krisztina M. Zsebo, Duanzhi Wen, Raymond A. Koski, Elior Peles, Sarah Bacus, Keith Langley, L M Souza and Karl Welte. Their work appears in journals such as Archives of Biochemistry and Biophysics, Journal of Biological Chemistry, Journal of Chromatography A, Cell and Protein Science.
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.