Zida Wu

2.2k citations
44 papers · 1.6k · h-index 20

Impact in

Papers in

Zida Wu

40 papers receiving 1.6k citations

Peers

Zida Wu
Comparison fields: 5 of 108
  • Endocrine and Autonomic Systems 424
  • Endocrinology, Diabetes and Metabolism 731
  • Nutrition and Dietetics 304
  • Physiology 340
  • Epidemiology 416
Replace Britt G. Gabrielsson with:
Britt G. Gabrielsson Sweden
Annabelle Rodríguez United States
Guoqing Yang China
Souad Najib France
Juan Carlos Calvo Argentina
Elaine Cochran United States
AnneMarie Gagnon Canada
Daniel Giannella‐Neto Brazil
Miina K. Öhman United States
Agnès Pernin Switzerland
Zida Wu relative to Britt G. Gabrielsson Sweden Britt G. Gabrielsson's profile →
Citations per field
00.5×1.5×2.4×
Britt G. Gabrielsson · 1×
Citations per year

Countries citing papers authored by Zida Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zida Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001264
2 2004198
3 2009112
4 199991
5 201688
6 199872
7 201169
8 201263
9 201259
10 200058
11 200654
12 199951
13 201450
14 200745
15 200344
16 201244
17 200141
18 201133
19 200726
20 200220

About Zida Wu

Zida Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Endocrine and Autonomic Systems and Nutrition and Dietetics, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (24 papers), Pituitary Gland Disorders and Treatments (9 papers), Regulation of Appetite and Obesity (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Genetic Syndromes and Imprinting (5 papers), Diet and metabolism studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Thyroid Disorders and Treatments (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (424 citations), Endocrinology, Diabetes and Metabolism (731 citations), Nutrition and Dietetics (304 citations), Physiology (340 citations) and Epidemiology (416 citations). Zida Wu has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Christian J. Strasburger, Martin Bidlingmaier, Richard Ross, Sayyed Hamid Zarkesh‐Esfahani, A. Graham Pockley, Anthony P. Weetman, Paul G. Hellewell, Abolghasem Ajami, Russell Metcalfe and Josef Köhrle. Their work appears in journals such as Growth Hormone & IGF Research, The Journal of Clinical Endocrinology & Metabolism, European Journal of Endocrinology, Endocrinology and The Journal of Immunology.

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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