Jinlu Dai

5.8k total citations
58 papers, 4.5k citations indexed

About

Jinlu Dai is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jinlu Dai has authored 58 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 32 papers in Molecular Biology and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jinlu Dai's work include Bone health and treatments (24 papers), Prostate Cancer Treatment and Research (18 papers) and Bone Metabolism and Diseases (12 papers). Jinlu Dai is often cited by papers focused on Bone health and treatments (24 papers), Prostate Cancer Treatment and Research (18 papers) and Bone Metabolism and Diseases (12 papers). Jinlu Dai collaborates with scholars based in United States, China and Japan. Jinlu Dai's co-authors include Evan T. Keller, Zhi Yao, Jill M. Keller, Atsushi Mizokami, Yi Lü, Christopher L. Hall, Russell S. Taichman, Kenneth J. Pienta, Laurie K. McCauley and June Escara‐Wilke and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Jinlu Dai

57 papers receiving 4.4k citations

Peers

Jinlu Dai
Comparison fields: 5 of 117
  • Oncology 2.4k
  • Molecular Biology 2.1k
  • Pulmonary and Respiratory Medicine 1.2k
  • Cancer Research 856
  • Immunology 677
Replace Sonja Loges with:
Sonja Loges Germany
Juan Juan Yin China
Sandra S. McAllister United States
Eric A. Severson United States
Sandra Ryeom United States
Lukas J.A.C. Hawinkels Netherlands
Jaume Mora Spain
Dennis K. Watson United States
Mario A. Anzano United States
Carlton R. Cooper United States
Sonja Loges Germany View profile →
Citations per field, relative to Jinlu Dai
Jinlu Dai · 1×
Citations per year, relative to Jinlu Dai
Jinlu Dai · 1×

Countries citing papers authored by Jinlu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jinlu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinlu Dai

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 33
3 30
4 10
5 27
6 68
7 114
8 80
9 26
10 79
11 28
12 27
13 119
14
Aldehyde dehydrogenase is a marker of prostate cancer stem cell-like cells in cell lines
1
15 18
16 23
17 80
18 374
19 128
20 127

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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