Carla Siebelder

27 total papers · 869 total citations
22 papers, 587 citations indexed

About

Carla Siebelder is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Carla Siebelder has authored 22 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Biomedical Engineering. Recurrent topics in Carla Siebelder's work include Diabetes Management and Research (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Cardiovascular Function and Risk Factors (5 papers). Carla Siebelder is often cited by papers focused on Diabetes Management and Research (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Cardiovascular Function and Risk Factors (5 papers). Carla Siebelder collaborates with scholars based in United States, Netherlands and Sweden. Carla Siebelder's co-authors include Cas Weykamp, Jan‐Olof Jeppsson, T J Penders, Randie R. Little, Tadao Hoshino, W. van der Slik, Frits A.J. Muskiet, Robbert J. Slingerland, David B. Sacks and W. Garry John and has published in prestigious journals such as Clinical Chemistry, Clinica Chimica Acta and Clinical Chemistry and Laboratory Medicine (CCLM).

In The Last Decade

Carla Siebelder

22 papers receiving 548 citations

Author Peers

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

Author						Papers	Cites
Carla Siebelder	348	120	72	67	59	22	587
Mengqi Gao	99 0.3×	194 1.6×	68 0.9×	35 0.5×	58 1.0×	26	685
Takuji Kohzuma	410 1.2×	132 1.1×	70 1.0×	12 0.2×	21 0.4×	17	564
In Jin Kim	82 0.2×	198 1.6×	104 1.4×	19 0.3×	30 0.5×	31	644
Connie Karschimkus	97 0.3×	102 0.8×	142 2.0×	13 0.2×	34 0.6×	23	632
Christoph Hasslacher	381 1.1×	112 0.9×	126 1.8×	36 0.5×	9 0.2×	49	675
Xiaoyan Song	147 0.4×	123 1.0×	54 0.8×	15 0.2×	39 0.7×	25	619
Ju-Young Moon	135 0.4×	168 1.4×	129 1.8×	9 0.1×	74 1.3×	30	583
Bénédicte Bénéteau‐Burnat	90 0.3×	156 1.3×	156 2.2×	28 0.4×	31 0.5×	28	550
Feng Bai	139 0.4×	223 1.9×	92 1.3×	12 0.2×	16 0.3×	32	599
Jackie Bryant	135 0.4×	122 1.0×	145 2.0×	76 1.1×	9 0.2×	15	510

Countries citing papers authored by Carla Siebelder

Since Specialization

Citations

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

Fields of papers citing papers by Carla Siebelder

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carla Siebelder

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