Christopher Y. Lu

58 papers receiving 2.7k citations

Peers

Christopher Y. Lu
Comparison fields: 5 of 122
  • Transplantation 306
  • Nephrology 442
  • Immunology 814
  • Obstetrics and Gynecology 161
  • Biochemistry 120
Replace Karl M. Stuhlmeier with:
Karl M. Stuhlmeier Austria
Laurent Baud France
Gary Visner United States
Daniel Landau Israel
Rosemary A. Hoffman United States
Marko Poglitsch Austria
Marcelle Bens France
Maximilian Zeyda Austria
Lijian Tao China
Terri Gelbart United States
Christopher Y. Lu relative to Karl M. Stuhlmeier Austria Karl M. Stuhlmeier's profile →
Citations per field
00.5×6.0×
Karl M. Stuhlmeier · 1×
Citations per year

Countries citing papers authored by Christopher Y. Lu

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Y. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973234
2 2005217
3
Localization of fetal major histocompatibility complex antigens and maternal leukocytes in murine placenta. Implications for maternal-fetal immunological relationship.
1989147
4 2011142
5 2003129
6 2010122
7 1988111
8 199497
9 200977
10 199971
11 201969
12 198066
13 199166
14 201165
15 197062
16 199560
17 199658
18 200356
19 200956
20 198252

About Christopher Y. Lu

Christopher Y. Lu is a scholar working on Immunology, Nephrology, Transplantation, Surgery and Nutrition and Dietetics, having authored 58 papers that have together received 2.8k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (13 papers), Renal Transplantation Outcomes and Treatments (11 papers), Reproductive System and Pregnancy (7 papers), Immune Response and Inflammation (7 papers), Fatty Acid Research and Health (6 papers), Organ Transplantation Techniques and Outcomes (6 papers), Advanced Glycation End Products research (4 papers) and Diabetes and associated disorders (3 papers). The work is most often cited by research in Transplantation (306 citations), Nephrology (442 citations), Immunology (814 citations), Obstetrics and Gynecology (161 citations) and Biochemistry (120 citations). Christopher Y. Lu has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Raymond W. Redline, Clifford L. Slayman, S C Sicher, D. Rohan Jeyarajah, W. Scott Long, Mariusz L. Kielar, Miguel A. Vázquez, James A. Richardson, John M. Shelton and John Hartono. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, The Journal of Immunology, Current Opinion in Nephrology & Hypertension and American Journal of Physiology-Renal Physiology.

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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