Lap-Ping Chung

1.7k citations
27 papers · 1.4k indexed · h-index 21

Lap-Ping Chung

27 papers receiving 1.3k citations

Peers

Lap-Ping Chung
Comparison fields: 5 of 101
  • Immunology 585
  • Hematology 233
  • Oncology 297
  • Genetics 110
  • Immunology and Allergy 61
Replace Timothy R. Hercus with:
Timothy R. Hercus Australia
J R Keller United States
R M O'Hara United States
Dale R. Taylor United Kingdom
Yasumichi Hitoshi Japan
F W Ruscetti United States
Dimitri Flieger Germany
Yu‐Chung Yang United States
Helen C. O’Neill Australia
Manjula Reddy United States
Lap-Ping Chung relative to Timothy R. Hercus Australia Timothy R. Hercus's profile →
Citations per field
00.5×1.5×
Timothy R. Hercus · 1×
Citations per year

Countries citing papers authored by Lap-Ping Chung

Since Specialization
Citations

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

Fields of papers citing papers by Lap-Ping Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lap-Ping Chung. 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 Lap-Ping Chung. The network helps show where Lap-Ping Chung may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20151
2 20141
3 201391
4 200964
5 200731
6 200329
7 200022
8 200010
9 199811
10 199740
11
Expression of the p53 gene in trophoblastic cells in hydatidiform moles and normal human placentas.
199435
12 199222
13 199015
14 198890
15 198881
16 198893
17 198787
18 198746
19 1986159
20 1985147

About Lap-Ping Chung

Lap-Ping Chung is a scholar working on Immunology, Oncology and Microbiology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Complement system in diseases (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Colorectal Cancer Treatments and Studies (3 papers), Immune Response and Inflammation (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Immunology (585 citations), Hematology (233 citations) and Oncology (297 citations). Lap-Ping Chung has collaborated with scholars based in United Kingdom, Hong Kong and China. Frequent co-authors include Siamon Gordon, K.B.M. Reid, Satish Keshav, D. R. Bentley, V. Hugh Perry, Brian F. Tack, Torsten Nygaard Kristensen, Kenneth B. M. Reid, Stephen J. Perkins and Robert B. Sim. Their work appears in journals such as Journal of Thoracic Oncology, Biochemical Journal, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences and Molecular Cancer Therapeutics.

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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