Nancy M. Wang

2.3k citations
40 papers · 1.8k indexed · 1 hit paper · h-index 16

Impact in

Papers in

Nancy M. Wang

38 papers receiving 1.7k citations

Hit Papers

A mouse model for spinal muscular atrophy 2000 · 585 citations
5852000202620082017100200300400500

Peers

Nancy M. Wang
Comparison fields: 5 of 95
  • Genetics 828
  • Cellular and Molecular Neuroscience 273
  • Molecular Biology 999
  • Developmental Neuroscience 46
  • Immunology and Allergy 48
Replace Alessandra Biffi with:
Alessandra Biffi Italy
Rachael W. Sirianni United States
Eduarda Dráberová Czechia
Roberto Adachi United States
Nancy Galvin United States
Wendy Yang United States
Zhijian Zhang China
Catherine R. O’Riordan United States
John F. Staropoli United States
Stephan Tiede Germany
Nancy M. Wang relative to Alessandra Biffi Italy Alessandra Biffi's profile →
Citations per field
00.5×3.7×
Alessandra Biffi · 1×
Citations per year

Countries citing papers authored by Nancy M. Wang

Since Specialization
Citations

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

Fields of papers citing papers by Nancy M. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy M. Wang. 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 Nancy M. Wang. The network helps show where Nancy M. Wang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20243
3 20240
4 20246
5 20233
6 20231
7 20232
8 202210
9 20188
10 201413
11 201233
12 2012225
13 20117
14 201019
15 200810
16 200725
17 20011
18 200019
19 200022
20 199949

About Nancy M. Wang

Nancy M. Wang is a scholar working on Immunology and Allergy, Dermatology, Microbiology, Genetics and Physiology, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Allergic Rhinitis and Sensitization (9 papers), Food Allergy and Anaphylaxis Research (7 papers), RNA modifications and cancer (5 papers), Asthma and respiratory diseases (4 papers), Glycosylation and Glycoproteins Research (3 papers), Dermatology and Skin Diseases (3 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Genetics (828 citations), Cellular and Molecular Neuroscience (273 citations), Molecular Biology (999 citations), Developmental Neuroscience (46 citations) and Immunology and Allergy (48 citations). Nancy M. Wang has collaborated with scholars based in Taiwan, United States and Sweden. Frequent co-authors include Jan‐Gowth Chang, Hung Li, Yuh‐Jyh Jong, Chang Hai Tsai, Hsiu Mei Hsieh‐Li, Chang‐Hai Tsai, Hsiu-Mei Hsieh-Li, Hon Man Lee, Ofer Yizhar and Rohit Prakash. Their work appears in journals such as PLoS ONE, Annals of Allergy Asthma & Immunology, Annals of Hematology, Transfusion and International Journal of Cardiology.

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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