T Schneider

26 total papers · 520 total citations
14 papers, 415 citations indexed

About

T Schneider is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Genetics. According to data from OpenAlex, T Schneider has authored 14 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Epidemiology and 4 papers in Genetics. Recurrent topics in T Schneider's work include Thyroid Cancer Diagnosis and Treatment (7 papers), Cancer-related Molecular Pathways (2 papers) and BRCA gene mutations in cancer (2 papers). T Schneider is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (7 papers), Cancer-related Molecular Pathways (2 papers) and BRCA gene mutations in cancer (2 papers). T Schneider collaborates with scholars based in Netherlands, United States and Brazil. T Schneider's co-authors include Ellen Kapiteijn, Hans Morreau, Johannes W. A. Smit, Hans Gelderblom, Eleonora P.M. Corssmit, Henk‐Jan Guchelaar, Djoeke de Wit, Nielka P. van Erp, J.W.R. Nortier and Tom van Wezel and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Annals of Oncology.

In The Last Decade

T Schneider

12 papers receiving 406 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
T Schneider	246	122	93	70	48	14	415
HANS JAKOB PETER	301 1.2×	76 0.6×	166 1.8×	78 1.1×	37 0.8×	10	457
H J Peter	262 1.1×	51 0.4×	127 1.4×	91 1.3×	24 0.5×	18	429
Guido C. Hovens	283 1.2×	90 0.7×	66 0.7×	41 0.6×	74 1.5×	9	454
Gerold Huber	251 1.0×	37 0.3×	109 1.2×	100 1.4×	31 0.6×	17	450
Petia Mitchell	131 0.5×	185 1.5×	194 2.1×	92 1.3×	35 0.7×	13	380
Kuo-Pao Yang	107 0.4×	145 1.2×	105 1.1×	105 1.5×	29 0.6×	13	458
Anna Casteràs	216 0.9×	59 0.5×	143 1.5×	94 1.3×	62 1.3×	21	373
Mattia Buratto	314 1.3×	103 0.8×	124 1.3×	51 0.7×	129 2.7×	21	489
Anton Ferdinando Carli	372 1.5×	63 0.5×	45 0.5×	121 1.7×	33 0.7×	9	419
H. Kassal	173 0.7×	43 0.4×	109 1.2×	89 1.3×	33 0.7×	16	411

Countries citing papers authored by T Schneider

Since Specialization

Citations

This map shows the geographic impact of T Schneider'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 T Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Schneider more than expected).

Fields of papers citing papers by T Schneider

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Schneider

This figure shows the co-authorship network connecting the top 25 collaborators of T Schneider. A scholar is included among the top collaborators of T Schneider 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 T Schneider. T Schneider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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