Tim T. Lu

2.7k citations
24 papers · 2.2k · 1 hit paper · h-index 16

Impact in

Papers in

Tim T. Lu

24 papers receiving 2.1k citations

Tim T. Lu's Hit Papers

Noninvasive detection of fetal trisomy 21 by sequencing of DNA in maternal blood: a study in a clinical setting 2011 · 402 citations
4020+5+10Years since publication100200300400

Peers

Tim T. Lu
Comparison fields: 5 of 116
  • Genetics 772
  • Pediatrics, Perinatology and Child Health 486
  • Immunology 269
  • Cancer Research 159
  • Infectious Diseases 140
Replace J. S. Wainscoat with:
J. S. Wainscoat United Kingdom
Sonia Dávila Singapore
P. H. Fitzgerald New Zealand
Aoife M. Waters United Kingdom
Sylvia D. Lawler United Kingdom
Daron Smith United Kingdom
Philippe Couillin France
JOE HIN TJIO United States
Julie A. DeLoia United States
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Tim T. Lu relative to J. S. Wainscoat United Kingdom J. S. Wainscoat's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tim T. Lu

Since Specialization
Citations

This map shows the geographic impact of Tim T. 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 Tim T. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim T. Lu more than expected).

Fields of papers citing papers by Tim T. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Noninvasive detection of fetal trisomy 21 by sequencing of DNA in maternal blood: a study in a clinical setting
Hit paper breakdown →
2011402
2 2008313
3 2007278
4 2005203
5 2003200
6 2005156
7 2017114
8 200497
9 201385
10 200879
11 201559
12 199436
13 200526
14 200623
15 200522
16 201321
17 200814
18 202212
19 20119
20 20159

About Tim T. Lu

Tim T. Lu is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Molecular Biology, Immunology and Oncology, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (5 papers), Prenatal Screening and Diagnostics (4 papers), CAR-T cell therapy research (2 papers), Mycobacterium research and diagnosis (2 papers), Sarcoidosis and Beryllium Toxicity Research (2 papers), RNA Interference and Gene Delivery (2 papers), Gene expression and cancer classification (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Genetics (772 citations), Pediatrics, Perinatology and Child Health (486 citations), Immunology (269 citations), Cancer Research (159 citations) and Infectious Diseases (140 citations). Tim T. Lu has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Stefan Schreiber, Susanna Nikolaus, Michael Krawczak, Philip C Rosenstiel, Peter J.P. Croucher, Dirk van den Boom, Cosmin Deciu, Mathias Ehrich, Andre Franke and Jochen Hampe. Their work appears in journals such as Nature Genetics, Physiological Genomics, Human Genetics, PLoS Medicine and Forensic Science International.

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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