Hsieng S. Lu

54 papers receiving 4.9k citations

Hit Papers

Neu differentiation factor: A transmembrane glycoprotein containing an EGF domain and an immunoglobulin homology unit 1992 · 504 citations
50419862026199920122505007501000

Peers

Hsieng S. Lu
Comparison fields: 5 of 124
  • Hematology 1.1k
  • Immunology and Allergy 378
  • Immunology 1.3k
  • Oncology 1.6k
  • Radiology, Nuclear Medicine and Imaging 820
Replace Thomas O. Daniel with:
Thomas O. Daniel United States
Luisa Lanfrancone Italy
Andrew F. Wilks Australia
Rikiro Fukunaga Japan
Jacques Bertoglio France
Andrew Ziemiecki Switzerland
Paul S. Changelian United States
Carl J. Kozlosky United States
Anke Klippel United States
W. Kruijer Netherlands
Hsieng S. Lu relative to Thomas O. Daniel United States Thomas O. Daniel's profile →
Citations per field
00.5×1.5×2.2×
Thomas O. Daniel · 1×
Citations per year

Countries citing papers authored by Hsieng S. Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hsieng S. Lu Line = papers co-authored together Hsieng S. Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201418
2 201116
3 201044
4 20092
5 200011
6 199955
7 199845
8 199831
9 19967
10 199615
11 199614
12 199642
13 199538
14 199538
15 1994202
16
Neu differentiation factor: A transmembrane glycoprotein containing an EGF domain and an immunoglobulin homology unit
Hit paper breakdown →
1992504
17 1992453
18 199014
19 198982
20 198826

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.

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