U Schneyer

1.2k total citations
28 papers, 868 citations indexed

About

U Schneyer is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Oncology. According to data from OpenAlex, U Schneyer has authored 28 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Oncology. Recurrent topics in U Schneyer's work include Neuroendocrine Tumor Research Advances (10 papers), Thyroid Cancer Diagnosis and Treatment (6 papers) and Neuroblastoma Research and Treatments (5 papers). U Schneyer is often cited by papers focused on Neuroendocrine Tumor Research Advances (10 papers), Thyroid Cancer Diagnosis and Treatment (6 papers) and Neuroblastoma Research and Treatments (5 papers). U Schneyer collaborates with scholars based in Germany, South Korea and United States. U Schneyer's co-authors include Henning Dralle, Andreas Machens, Hans-Jürgen Holzhausen, Raoul Hinze, Oliver Gimm, Dorothee Peschke, Elmar Peschke, Thomas Frese, Rainer Spessert and Eckhard Mühlbauer and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer and Clinical Endocrinology.

In The Last Decade

U Schneyer

26 papers receiving 844 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U Schneyer Germany 13 479 333 239 181 158 28 868
Bernardo Liberman Brazil 21 1.2k 2.5× 318 1.0× 790 3.3× 71 0.4× 47 0.3× 75 1.8k
Emilio del Pozo Japan 15 718 1.5× 368 1.1× 192 0.8× 74 0.4× 25 0.2× 26 1.1k
Véronique Raverot France 15 452 0.9× 163 0.5× 137 0.6× 76 0.4× 66 0.4× 64 744
Justin G.S. Won Taiwan 15 260 0.5× 121 0.4× 164 0.7× 83 0.5× 36 0.2× 39 558
Eugenia Resmini Italy 20 613 1.3× 225 0.7× 246 1.0× 59 0.3× 24 0.2× 46 986
Maria Gueorguiev United Kingdom 22 567 1.2× 212 0.6× 363 1.5× 159 0.9× 415 2.6× 33 1.4k
A. Paracchi Italy 22 1.1k 2.3× 106 0.3× 496 2.1× 56 0.3× 30 0.2× 36 1.4k
Kunihiko Hanew Japan 15 540 1.1× 154 0.5× 99 0.4× 48 0.3× 53 0.3× 78 1.0k
B. Ambrosi Italy 24 1.4k 2.9× 91 0.3× 482 2.0× 38 0.2× 67 0.4× 77 1.7k
Masaki Miura Japan 16 162 0.3× 91 0.3× 169 0.7× 38 0.2× 115 0.7× 56 649

Countries citing papers authored by U Schneyer

Since Specialization
Citations

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

Fields of papers citing papers by U Schneyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U Schneyer

This figure shows the co-authorship network connecting the top 25 collaborators of U Schneyer. A scholar is included among the top collaborators of U Schneyer 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 U Schneyer. U Schneyer 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
1.
Machens, Andreas, Ludwig Schaaf, Wölfram Karges, et al.. (2007). Age‐related penetrance of endocrine tumours in multiple endocrine neoplasia type 1 (MEN1): a multicentre study of 258 gene carriers. Clinical Endocrinology. 67(4). 613–622. 114 indexed citations
2.
Gimm, Oliver, Kerstin Lorenz, Phuong Nguyen Thanh, et al.. (2006). Das familiäre Nebenschilddrüsenkarzinom: Indikation zur prophylaktischen Parathyreoidektomie?. Chirurg. 77(1). 15–24. 4 indexed citations
3.
Machens, Andreas, U Schneyer, Hans-Jürgen Holzhausen, & Henning Dralle. (2005). Prospects of Remission in Medullary Thyroid Carcinoma According to Basal Calcitonin Level. The Journal of Clinical Endocrinology & Metabolism. 90(4). 2029–2034. 190 indexed citations
4.
Gimm, Oliver, Kerstin Lorenz, U Schneyer, et al.. (2005). Das familiäre Nebenschilddrüsenkarzinom. Der Chirurg. 77(1). 15–24. 12 indexed citations
5.
Schneyer, U, et al.. (2005). Endokrinologische Befunde bei der endokrinen Orbitopathie. Klinische Monatsblätter für Augenheilkunde. 222(1). 15–18. 1 indexed citations
6.
Gaul, Charly, et al.. (2005). Hypokaliämische thyreotoxische periodische Paralyse (HTPP). Medizinische Klinik. 100(9). 583–586. 7 indexed citations
7.
Peschke, Elmar, Thomas Frese, Dorothee Peschke, et al.. (2005). Diabetic Goto Kakizaki rats as well as type 2 diabetic patients show a decreased diurnal serum melatonin level and an increased pancreatic melatonin‐receptor status. Journal of Pineal Research. 40(2). 135–143. 156 indexed citations
8.
Machens, Andreas, U Schneyer, Hans-Jürgen Holzhausen, Friedhelm Raue, & Henning Dralle. (2004). Emergence of medullary thyroid carcinoma in a family with the Cys630Arg RET germline mutation. Surgery. 136(5). 1083–1087. 18 indexed citations
9.
Schneyer, U, et al.. (2002). Untersuchungen zur Wachstumsprognose asthmakranker Kinder. Pneumologie. 56(3). 176–181. 1 indexed citations
10.
Hinze, Raoul, et al.. (2001). “Physiologische” und “neoplastische” C-Zell-Hyperplasien der SchilddrüseMorphologisch und biologisch distinkte Entitäten?. Der Pathologe. 22(4). 259–265. 4 indexed citations
11.
Miedlich, Susanne U., Tobias Lohmann, U Schneyer, P. Lamesch, & R Paschke. (2001). Familial isolated primary hyperparathyroidism--a multiple endocrine neoplasia type 1 variant?. European Journal of Endocrinology. 145(2). 155–160. 39 indexed citations
12.
Kellner, O, Wieland Voigt, U Schneyer, Wolfram C. M. Dempke, & Hans‐Joachim Schmoll. (2001). HCG induced hyperthyreosis in germ cell cancer.. PubMed. 20(6D). 5135–8. 8 indexed citations
13.
Hinze, Raoul, Oliver Gimm, Michael Brauckhoff, et al.. (2001). "Physiologische" und "neoplastische" C-Zell-Hyperplasien der Schilddrüse. Der Pathologe. 22(4). 259–265. 10 indexed citations
14.
Machens, Andreas, et al.. (2000). Hypercalcitoninemia in a Sporadic Asymptomatic Neuroendocrine Tumor of the Pancreatic Tail. Digestive Surgery. 17(5). 522–524. 14 indexed citations
15.
Machens, Andreas, et al.. (2000). Improved prediction of calcitonin normalization in medullary thyroid carcinoma patients by quantitative lymph node analysis. Cancer. 88(8). 1909–1915. 120 indexed citations
16.
Machens, Andreas, et al.. (2000). Differential diagnosis of calcitonin-secreting neuroendocrine carcinoma of the foregut by pentagastrin stimulation. Langenbeck s Archives of Surgery. 385(6). 398–401. 34 indexed citations
17.
Dralle, Henning, Georg Brabant, Uwe Rose, et al.. (1996). Die Bedeutung bildgebender Verfahren für das operative Vorgehen bei Erkrankungen der Nebenniere. European surgery. Supplement/European surgery. 28(5). 292–295. 1 indexed citations
18.
Weinert, Dietmar, et al.. (1994). Resynchronization of the Circadian Corticosterone Rhythm After a Light/Dark Shift in Juvenile and Adult Mice. Chronobiology International. 11(4). 222–231. 34 indexed citations
19.
Drobny, Helmut & U Schneyer. (1982). [Studies on the incidence of diabetes mellitus in obese patients].. PubMed. 37(14). 453–8. 1 indexed citations
20.
Schneyer, U, et al.. (1974). [Radioimmunological determinations of insulin in small serum samples using wick-chromatography].. PubMed. 63(3). 364–7. 1 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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