Annie Yang

20.9k citations
53 papers · 12.4k indexed · 6 hit papers · h-index 34

Annie Yang

53 papers receiving 12.3k citations

Hit Papers

p63 and p73 are required for p53-dependent apoptosis in r...651199720262006201650010001.5k

Peers

Annie Yang
Comparison fields: 5 of 133
  • Biotechnology 2.5k
  • Oncology 7.5k
  • Molecular Biology 8.4k
  • Cancer Research 1.4k
  • Dermatology 502
Replace Frank McKeon with:
Frank McKeon United States
Philip W. Hinds United States
G. Paolo Dotto United States
Ole W. Petersen Denmark
Michael L. Cleary United States
Andrea Haegebarth Germany
Jeffrey S. Rubin United States
Margaret A. Goodell United States
Nicholas J. Dyson United States
M. Sharon Stack United States
Annie Yang relative to Frank McKeon United States Frank McKeon's profile →
Citations per field
00.5×1.5×
Frank McKeon · 1×
Citations per year

Countries citing papers authored by Annie Yang

Since Specialization
Citations

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

Fields of papers citing papers by Annie Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202313
3 20225
4 20221
5 202120
6
Systematic Identification of Plasmodium Falciparum Sporozoite Membrane Protein Interactions Reveals an Essential Role for the p24 Complex in Host Infection
20212
7 20215
8 202115
9 202018
10 202019
11 201948
12 201750
13 201771
14 201039
15 200755
16 2006433
17 2001110
18
p73-deficient mice have neurological, pheromonal and inflammatory defects but lack spontaneous tumoursbreakdown →
2000836
19 2000105
20 2000465

About Annie Yang

Annie Yang is a scholar working on Biotechnology, Oncology, Public Health, Environmental and Occupational Health, Urology and Parasitology, having authored 53 papers that have together received 12.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (23 papers), Malaria Research and Control (15 papers), Cancer Research and Treatments (10 papers), Mosquito-borne diseases and control (7 papers), Molecular Biology Techniques and Applications (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Invertebrate Immune Response Mechanisms (4 papers) and Hedgehog Signaling Pathway Studies (4 papers). The work is most often cited by research in Biotechnology (2.5k citations), Oncology (7.5k citations), Molecular Biology (8.4k citations), Cancer Research (1.4k citations) and Dermatology (502 citations). Annie Yang has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Frank McKeon, Daniel Caput, Mourad Kaghad, Roderick T. Bronson, Christopher P. Crum, Arlene H. Sharpe, Yunmei Wang, Volker Dötsch, Deqin Sun and Mark D. Fleming. Their work appears in journals such as Nature, Nature Communications, Human Pathology, Molecular Cell and Cell Reports.

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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