John Lu

27 papers receiving 3.3k citations

John Lu's Hit Papers

Structures and distributions of SARS-CoV-2 spike proteins on intact virions 2020 · 780 citations
7800+5+10Years since publication250500750

Peers

John Lu
Comparison fields: 5 of 132
  • Infectious Diseases 599
  • Reproductive Medicine 246
  • Structural Biology 42
  • Otorhinolaryngology 110
  • Oncology 577
Replace David A. Levison with:
David A. Levison United Kingdom
M. Duchrow Germany
Timo Paavonen Finland
Zsuzsanna Varga Switzerland
Kunihiko Ito Japan
David Gillis Australia
Aurélie Fabre Ireland
W Wiktor-Jędrzejczak Poland
Patricia Kirby United States
Ann W Morgan United Kingdom
John Lu relative to David A. Levison United Kingdom David A. Levison's profile →
Citations per field
00.5×10×14×
David A. Levison · 1×
Citations per year

Countries citing papers authored by John Lu

Since Specialization
Citations

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

Fields of papers citing papers by John Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Structures and distributions of SARS-CoV-2 spike proteins on intact virions
Hit paper breakdown →
2020780
2
Reversal of Cancer Cachexia and Muscle Wasting by ActRIIB Antagonism Leads to Prolonged Survival
Hit paper breakdown →
2010760
3 1986406
4 2000344
5 1982201
6 2006136
7 2006126
8 2009122
9 2009114
10 1991113
11 199093
12 202334
13
Oral mucositis and outcomes of autologous hematopoietic stem-cell transplantation following high-dose melphalan conditioning for multiple myeloma.
200730
14 201329
15 198827
16 200826
17 201022
18 201920
19 200318
20 201017

About John Lu

John Lu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 27 papers that have together received 3.5k indexed citations. Recurring topics across this work include Oral health in cancer treatment (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Endometriosis Research and Treatment (2 papers), Extracellular vesicles in disease (2 papers), Fibroblast Growth Factor Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Mesenchymal stem cell research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Infectious Diseases (599 citations), Reproductive Medicine (246 citations), Structural Biology (42 citations), Otorhinolaryngology (110 citations) and Oncology (577 citations). John Lu has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include David L. Lacey, David R. Meldrum, Robert Rosenfeld, Thomas C. Boone, Xiaolan Zhou, Qingsheng Jiao, H.Q. Han, Yanping Song, Alfred L. Goldberg and Qing Chen. Their work appears in journals such as Molecular Cancer Therapeutics, Molecular and Cellular Biology, The Journal of Clinical Endocrinology & Metabolism, Nature and Cell stem cell.

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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