David Lo

11.7k citations
136 papers · 8.9k indexed · 1 hit paper · h-index 48

David Lo

134 papers receiving 8.8k citations

Hit Papers

Expression of relB is required for the development of thy...6501995202620052015200400600

Peers

David Lo
Comparison fields: 5 of 151
  • Immunology 6.1k
  • Neurology 540
  • Immunology and Allergy 330
  • Oncology 1.3k
  • Cancer Research 588
Replace Dimitry M. Danilenko with:
Dimitry M. Danilenko United States
Sergij Goerdt Germany
Giovanna Lombardi United Kingdom
Matthew Collin United Kingdom
Shu Man Fu United States
Julia Kzhyshkowska Germany
Stefan Beissert Germany
Guttorm Haraldsen Norway
Luc J. W. van der Laan Netherlands
Cees van Kooten Netherlands
David Lo relative to Dimitry M. Danilenko United States Dimitry M. Danilenko's profile →
Citations per field
00.5×3.8×
Dimitry M. Danilenko · 1×
Citations per year

Countries citing papers authored by David Lo

Since Specialization
Citations

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

Fields of papers citing papers by David Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202039
4 2019139
5 201640
6 201522
7 201425
8 201242
9 201029
10 200343
11 200190
12 200144
13 200027
14 199947
15 1998245
16 1997104
17 199449
18 19922
19 19893
20 1988246

About David Lo

David Lo is a scholar working on Immunology, Neurology, Genetics, Pharmaceutical Science and Health, Toxicology and Mutagenesis, having authored 136 papers that have together received 8.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (53 papers), T-cell and B-cell Immunology (51 papers), Immunotherapy and Immune Responses (45 papers), Immune Response and Inflammation (15 papers), Diabetes and associated disorders (14 papers), IL-33, ST2, and ILC Pathways (9 papers), Air Quality and Health Impacts (8 papers) and RNA Interference and Gene Delivery (7 papers). The work is most often cited by research in Immunology (6.1k citations), Neurology (540 citations), Immunology and Allergy (330 citations), Oncology (1.3k citations) and Cancer Research (588 citations). David Lo has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Jonathan Sprent, Christina R. Reilly, E K Gao, Laurie H. Glimcher, Monica J. Carson, Linda C. Burkly, Yacov Ron, Lynn Ogata, J. Gregor Sutcliffe and Terri M. Laufer. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, European Journal of Immunology, Nature and Immunity.

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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