C Sievers

19 total papers · 757 total citations
10 papers, 578 citations indexed

About

C Sievers is a scholar working on Neurology, Endocrinology, Diabetes and Metabolism and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, C Sievers has authored 10 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in C Sievers's work include Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). C Sievers is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). C Sievers collaborates with scholars based in Germany, United States and Switzerland. C Sievers's co-authors include Peter A. Schneider, E. Bernd Ringelstein, Shirley M. Otis, GK Stalla, Jochen Schopohl, Christina Dimopoulou, Marcus Ising, J Roemmler, Schneider Hj and Hildegard Pfister and has published in prestigious journals such as Journal of the American Chemical Society, Stroke and European Journal of Endocrinology.

In The Last Decade

C Sievers

9 papers receiving 560 citations

Author Peers

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

Author						Papers	Cites
C Sievers	272	259	156	138	128	10	578
Christopher Voll	138 0.5×	136 0.5×	123 0.8×	145 1.1×	82 0.6×	12	668
R. R. Russell	260 1.0×	135 0.5×	100 0.6×	113 0.8×	26 0.2×	11	594
H Shoji	140 0.5×	82 0.3×	168 1.1×	220 1.6×	43 0.3×	10	515
Xiang Yan Chen	196 0.7×	400 1.5×	220 1.4×	332 2.4×	28 0.2×	23	607
Heather M. O’Malley	124 0.5×	215 0.8×	155 1.0×	358 2.6×	38 0.3×	9	540
Diane H. Solomon	131 0.5×	213 0.8×	160 1.0×	136 1.0×	137 1.1×	6	578
Toshitaka Umemura	102 0.4×	124 0.5×	105 0.7×	179 1.3×	111 0.9×	29	627
Oleg Merzeliak	192 0.7×	172 0.7×	183 1.2×	381 2.8×	33 0.3×	13	660
L.‐G. Strömblad	233 0.9×	59 0.2×	153 1.0×	122 0.9×	57 0.4×	18	681
H Fukuyama	165 0.6×	201 0.8×	75 0.5×	186 1.3×	104 0.8×	17	552

Countries citing papers authored by C Sievers

Since Specialization

Citations

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

Fields of papers citing papers by C Sievers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C Sievers

This figure shows the co-authorship network connecting the top 25 collaborators of C Sievers. A scholar is included among the top collaborators of C Sievers 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 C Sievers. C Sievers 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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