John M. Lu

33 papers receiving 3.9k citations

John M. Lu's Hit Papers

Structures and distributions of SARS-CoV-2 spike proteins on intact virions 2020 · 869 citations
8690+5+10Years since publication250500750

Peers

John M. Lu
Comparison fields: 5 of 135
  • Infectious Diseases 682
  • Reproductive Medicine 266
  • Otorhinolaryngology 114
  • Structural Biology 41
  • Oncology 670
Replace Zvi R. Cohen with:
Zvi R. Cohen Israel
David A. Levison United Kingdom
Michael Duchrow Germany
Haruo Ohtani Japan
Zhang Xu China
Kathleen T. Montone United States
Kunihiko Ito Japan
Aurélie Fabre Ireland
David Gillis Australia
Arash Rafii Tabrizi Qatar
John M. Lu relative to Zvi R. Cohen Israel Zvi R. Cohen's profile →
Citations per field
00.5×5×10×13.7×
Zvi R. Cohen · 1×
Citations per year

Countries citing papers authored by John M. Lu

Since Specialization
Citations

This map shows the geographic impact of John M. 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 M. 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 M. Lu more than expected).

Fields of papers citing papers by John M. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 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 →
2020869
2
Reversal of Cancer Cachexia and Muscle Wasting by ActRIIB Antagonism Leads to Prolonged Survival
Hit paper breakdown →
2010783
3 1986419
4 2004404
5 2000341
6 1982206
7 2006138
8 2006129
9 2009120
10 2009120
11 1991111
12 199092
13 201862
14 202334
15
Oral mucositis and outcomes of autologous hematopoietic stem-cell transplantation following high-dose melphalan conditioning for multiple myeloma.
200732
16 201331
17 198826
18 200826
19 201024
20 201020

About John M. Lu

John M. Lu is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Genetics, Molecular Biology and Cancer Research, having authored 34 papers that have together received 4.1k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (4 papers), Oral health in cancer treatment (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Mesenchymal stem cell research (3 papers), Pancreatic function and diabetes (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Infectious Diseases (682 citations), Reproductive Medicine (266 citations), Otorhinolaryngology (114 citations), Structural Biology (41 citations) and Oncology (670 citations). John M. Lu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include David L. Lacey, David Roy Meldrum, H.Q. Han, Robert Rosenfeld, Xiaolan Zhou, Qing Chen, Alfred Lewis Goldberg, W. Scott Simonet, Qingsheng Jiao and Thomas C. Boone. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Cell, Cell Reports, Molecular Cancer Therapeutics and Science Translational Medicine.

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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