G. F. W. Scheumann

63 total papers · 839 total citations
25 papers, 588 citations indexed

About

G. F. W. Scheumann is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Oncology. According to data from OpenAlex, G. F. W. Scheumann has authored 25 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Surgery and 7 papers in Oncology. Recurrent topics in G. F. W. Scheumann's work include Neuroendocrine Tumor Research Advances (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers) and Lung Cancer Research Studies (4 papers). G. F. W. Scheumann is often cited by papers focused on Neuroendocrine Tumor Research Advances (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers) and Lung Cancer Research Studies (4 papers). G. F. W. Scheumann collaborates with scholars based in Germany, United States and Austria. G. F. W. Scheumann's co-authors include Henning Dralle, Georg Brabant, Désirée S. Jansson, Mikael Nilsson, Y. Cetin, Göran K. Hansson, Johan Mölne, Lars Ericson, Cuong Hoang‐Vu and R. Pichlmayr and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of Oncology and British journal of surgery.

In The Last Decade

G. F. W. Scheumann

25 papers receiving 577 citations

Author Peers

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

Author						Papers	Cites
G. F. W. Scheumann	285	204	188	152	126	25	588
Rita Domingues	352 1.2×	156 0.8×	82 0.4×	199 1.3×	156 1.2×	30	572
Sheila Lindsay	297 1.0×	88 0.4×	117 0.6×	188 1.2×	133 1.1×	19	566
Takaya Kodama	218 0.8×	86 0.4×	248 1.3×	170 1.1×	63 0.5×	37	577
Daniela Betea	320 1.1×	62 0.3×	181 1.0×	163 1.1×	146 1.2×	28	608
Zoran Erlic	358 1.3×	109 0.5×	355 1.9×	47 0.3×	94 0.7×	32	674
Inês Vieira de Castro	360 1.3×	170 0.8×	189 1.0×	295 1.9×	60 0.5×	15	610
Sylwia Szpak‐Ulczok	363 1.3×	257 1.3×	114 0.6×	114 0.8×	45 0.4×	30	659
Karin Bradley	131 0.5×	157 0.8×	93 0.5×	153 1.0×	136 1.1×	25	683
Catherine Cardot-Bauters	215 0.8×	83 0.4×	241 1.3×	225 1.5×	280 2.2×	32	674
Kimberley Studeman	232 0.8×	153 0.8×	192 1.0×	173 1.1×	69 0.5×	18	586

Countries citing papers authored by G. F. W. Scheumann

Since Specialization

Citations

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

Fields of papers citing papers by G. F. W. Scheumann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. F. W. Scheumann. 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 G. F. W. Scheumann. The network helps show where G. F. W. Scheumann may publish in the future.

Co-authorship network of co-authors of G. F. W. Scheumann

This figure shows the co-authorship network connecting the top 25 collaborators of G. F. W. Scheumann. A scholar is included among the top collaborators of G. F. W. Scheumann 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 G. F. W. Scheumann. G. F. W. Scheumann 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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