Zida Wu

2.2k total citations
44 papers, 1.6k citations indexed

About

Zida Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Zida Wu has authored 44 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Zida Wu's work include Growth Hormone and Insulin-like Growth Factors (24 papers), Pituitary Gland Disorders and Treatments (9 papers) and Regulation of Appetite and Obesity (7 papers). Zida Wu is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (24 papers), Pituitary Gland Disorders and Treatments (9 papers) and Regulation of Appetite and Obesity (7 papers). Zida Wu collaborates with scholars based in Germany, United States and United Kingdom. Zida Wu's 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 and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and The Journal of Immunology.

In The Last Decade

Zida Wu

40 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zida Wu Germany 20 731 424 416 352 340 44 1.6k
Britt G. Gabrielsson Sweden 21 370 0.5× 177 0.4× 473 1.1× 381 1.1× 705 2.1× 37 1.7k
Annabelle Rodríguez United States 23 497 0.7× 297 0.7× 209 0.5× 378 1.1× 537 1.6× 50 1.9k
Juan Carlos Calvo Argentina 22 235 0.3× 294 0.7× 412 1.0× 570 1.6× 410 1.2× 79 2.0k
Daniel Giannella‐Neto Brazil 24 736 1.0× 99 0.2× 394 0.9× 526 1.5× 376 1.1× 71 1.8k
Guoqing Yang China 18 168 0.2× 440 1.0× 339 0.8× 300 0.9× 306 0.9× 51 1.3k
AnneMarie Gagnon Canada 29 796 1.1× 152 0.4× 579 1.4× 866 2.5× 781 2.3× 66 2.5k
Souad Najib France 20 122 0.2× 387 0.9× 589 1.4× 489 1.4× 332 1.0× 42 1.6k
Miina K. Öhman United States 20 158 0.2× 169 0.4× 431 1.0× 520 1.5× 412 1.2× 34 1.7k
Stefan Lehr Germany 20 382 0.5× 109 0.3× 614 1.5× 659 1.9× 670 2.0× 42 1.7k
Agnès Pernin Switzerland 13 157 0.2× 319 0.8× 733 1.8× 818 2.3× 811 2.4× 16 2.0k

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-authorship network of co-authors of Zida Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zida Wu. A scholar is included among the top collaborators of Zida Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zida Wu. Zida Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Wu, Zida, et al.. (2020). Short stature explained by dimerization of human growth hormone induced by a p.C53S point mutation. Journal of Biological Chemistry. 295(15). 4893–4901. 3 indexed citations
4.
Hybsier, Sandra, Torsten Schulz, Zida Wu, et al.. (2016). Sex-specific and inter-individual differences in biomarkers of selenium status identified by a calibrated ELISA for selenoprotein P. Redox Biology. 11. 403–414. 88 indexed citations
5.
Lehmphul, Ina, Georg Brabant, Henri Wallaschofski, et al.. (2014). Detection of 3,5-Diiodothyronine in Sera of Patients with Altered Thyroid Status Using a New Monoclonal Antibody-Based Chemiluminescence Immunoassay. Thyroid. 24(9). 1350–1360. 50 indexed citations
6.
Carpenter, Byron, G.R. Hemsworth, Zida Wu, et al.. (2012). Structure of the Human Obesity Receptor Leptin-Binding Domain Reveals the Mechanism of Leptin Antagonism by a Monoclonal Antibody. Structure. 20(3). 487–497. 59 indexed citations
7.
Hoefig, Carolin S., Josef Köhrle, Georg Brabant, et al.. (2011). Evidence for Extrathyroidal Formation of 3-Iodothyronamine in Humans as Provided by a Novel Monoclonal Antibody-Based Chemiluminescent Serum Immunoassay. The Journal of Clinical Endocrinology & Metabolism. 96(6). 1864–1872. 69 indexed citations
8.
Lima, Giovanna Aparecida Balarini, Mônica R. Gadelha, Christian J. Strasburger, & Zida Wu. (2010). Serum Levels of 20K-hGH and 22K-hGH Isoforms in Acromegalic Patients. Frontiers of hormone research. 38. 87–93. 1 indexed citations
9.
Sun, Min, Jenny Manolopoulou, Ariadni Spyroglou, et al.. (2010). A microsphere-based duplex competitive immunoassay for the simultaneous measurements of aldosterone and testosterone in small sample volumes: Validation in human and mouse plasma. Steroids. 75(13-14). 1089–1096. 19 indexed citations
10.
Junnila, Riia K., Zida Wu, & Christian J. Strasburger. (2008). Study of dimer and oligomers of human growth hormone. 16. 1 indexed citations
11.
Keller, Alexandra, Zida Wu, Jüergen Kratzsch, et al.. (2007). Pharmacokinetics and pharmacodynamics of GH: dependence on route and dosage of administration. European Journal of Endocrinology. 156(6). 647–653. 45 indexed citations
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Zarkesh‐Esfahani, Sayyed Hamid, Zida Wu, Mabrouka Maamra, et al.. (2006). Identification of a monoclonal antibody against the leptin receptor that acts as an antagonist and blocks human monocyte and T cell activation. Journal of Immunological Methods. 312(1-2). 190–200. 54 indexed citations
14.
Dodson, Michael V., et al.. (2005). Early signaling interactions between the insulin and leptin pathways in bovine myogenic cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1744(2). 164–175. 10 indexed citations
15.
Zarkesh‐Esfahani, Sayyed Hamid, A. Graham Pockley, Zida Wu, et al.. (2004). Leptin Indirectly Activates Human Neutrophils via Induction of TNF-α. The Journal of Immunology. 172(3). 1809–1814. 198 indexed citations
16.
Wu, Zida, et al.. (2003). A New Nonisotopic, Highly Sensitive Assay for the Measurement of Human Placental Growth Hormone: Development and Clinical Implications. The Journal of Clinical Endocrinology & Metabolism. 88(2). 804–811. 44 indexed citations
17.
Wu, Zida, Martin Bidlingmaier, Changlu Liu, et al.. (2002). Quantification of the Soluble Leptin Receptor in Human Blood by Ligand-Mediated Immunofunctional Assay. The Journal of Clinical Endocrinology & Metabolism. 87(6). 2931–2939. 20 indexed citations
18.
Zarkesh‐Esfahani, Sayyed Hamid, A. Graham Pockley, Russell Metcalfe, et al.. (2001). High-Dose Leptin Activates Human Leukocytes Via Receptor Expression on Monocytes. The Journal of Immunology. 167(8). 4593–4599. 264 indexed citations
19.
Morrison, Katherine M., Zida Wu, Martin Bidlingmaier, & Christian J. Strasburger. (2001). Findings and theoretical considerations on the usefulness of the acid-labile subunit in the monitoring of acromegaly. Growth Hormone & IGF Research. 11. S61–S63. 4 indexed citations
20.
Bidlingmaier, Martin, Zida Wu, & Christian J. Strasburger. (2000). Test method: GH. Best Practice & Research Clinical Endocrinology & Metabolism. 14(1). 99–109. 58 indexed citations

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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