David H. Lum

3.6k citations
25 papers · 1.7k indexed · 1 hit paper · h-index 15
Topics
Glycosylation and Glycoproteins Research (3 papers)Extracellular vesicles in disease (3 papers)MicroRNA in disease regulation (3 papers)

In The Last Decade

David H. Lum

24 papers receiving 1.7k citations

Hit Papers

Plasma exosome microRNAs are indicative of breast cancer20162026201920222016100200300400

Peers

David H. Lum
Comparison fields: 5 of 93
  • Molecular Biology 1.2k
  • Cancer Research 732
  • Cell Biology 243
  • Oncology 152
  • Immunology 139
Replace James Ashcom with:
James Ashcom United States
Anwarul Ferdous United States
Yongyan Wu China
Niels H. Gehring Germany
Kevin Hakala United States
Hiren Patel United States
Andrea E. Murmann United States
Kenkichi Masutomi Japan
Yegor Vassetzky France
Yunguang Sun United States
David H. Lum relative to James Ashcom United States James Ashcom's profile →
Citations per field
00.5×8.9×
James Ashcom · 1×
Citations per year

Countries citing papers authored by David H. Lum

Since Specialization
Citations

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

Fields of papers citing papers by David H. Lum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David H. Lum. 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 David H. Lum. The network helps show where David H. Lum may publish in the future.

Co-authorship network of co-authors of David H. Lum

This figure shows the co-authorship network connecting the top 25 collaborators of David H. Lum. A scholar is included among the top collaborators of David H. Lum 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 David H. Lum. David H. Lum 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
#WorkIndexed citations
1 7
2 1
3 5
4 4
5 2
6 18
7
Development of a 89Zr radiolabeled anti-CD33 antibody for PET imaging of Acute Myeloid Leukemia
1
8 50
9 40
10 212
11 76
12
Plasma exosome microRNAs are indicative of breast cancerbreakdown →
474
13 35
14 76
15 73
16 19
17 71
18 132
19 324
20 54

About David H. Lum

David H. Lum is a scholar working on Aging, Cancer Research and Obstetrics and Gynecology, having authored 25 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Extracellular vesicles in disease (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (732 citations), Aging (51 citations) and Molecular Biology (1.2k citations). David H. Lum has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Alana L. Welm, Andrew M. Spence, Patricia E. Kuwabara, David Zarkower, Wei‐Qun Ding, Yvonne D. Trigoso, William C. Dooley, Bethany N. Hannafon, Yan D. Zhao and Zhizhuang Joe Zhao. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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