Frank ter Veld

25 total papers · 495 total citations
22 papers, 393 citations indexed

About

Frank ter Veld is a scholar working on Molecular Biology, Physiology and Clinical Biochemistry. According to data from OpenAlex, Frank ter Veld has authored 22 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Physiology and 6 papers in Clinical Biochemistry. Recurrent topics in Frank ter Veld's work include Mitochondrial Function and Pathology (7 papers), Diet and metabolism studies (6 papers) and Metabolism and Genetic Disorders (6 papers). Frank ter Veld is often cited by papers focused on Mitochondrial Function and Pathology (7 papers), Diet and metabolism studies (6 papers) and Metabolism and Genetic Disorders (6 papers). Frank ter Veld collaborates with scholars based in Germany, Netherlands and China. Frank ter Veld's co-authors include Ute Spiekerkoetter, Ertan Mayatepek, Sara Tucci, Frank Wehner, George T. Robillard, Klaas Nicolay, Jaap Broos, Tongju Li, Diran Herebıan and Jeroen A. L. Jeneson and has published in prestigious journals such as PLoS ONE, Biochemistry and FEBS Letters.

In The Last Decade

Frank ter Veld

22 papers receiving 388 citations

Author Peers

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

Author						Papers	Cites
Frank ter Veld	277	179	119	42	32	22	393
Anuradha Karunanidhi	233 0.8×	158 0.9×	78 0.7×	19 0.5×	10 0.3×	21	354
Paolo Lattanzio	280 1.0×	103 0.6×	60 0.5×	18 0.4×	14 0.4×	15	365
Edward S. Kline	164 0.6×	61 0.3×	80 0.7×	58 1.4×	24 0.8×	20	362
H. Ibel	213 0.8×	111 0.6×	84 0.7×	12 0.3×	19 0.6×	22	433
Arthur F. Clark	246 0.9×	67 0.4×	86 0.7×	42 1.0×	78 2.4×	19	372
Bing-Zhi Yang	231 0.8×	159 0.9×	160 1.3×	39 0.9×	10 0.3×	18	444
Angela Schmidt	200 0.7×	109 0.6×	91 0.8×	21 0.5×	24 0.8×	21	424
George Kopsidas	363 1.3×	62 0.3×	74 0.6×	30 0.7×	36 1.1×	19	428
Catherine Le	190 0.7×	47 0.3×	88 0.7×	17 0.4×	27 0.8×	19	372
Norma Spécola	153 0.6×	203 1.1×	182 1.5×	32 0.8×	19 0.6×	19	373

Countries citing papers authored by Frank ter Veld

Since Specialization

Citations

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

Fields of papers citing papers by Frank ter Veld

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank ter Veld. 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 Frank ter Veld. The network helps show where Frank ter Veld may publish in the future.

Co-authorship network of co-authors of Frank ter Veld

This figure shows the co-authorship network connecting the top 25 collaborators of Frank ter Veld. A scholar is included among the top collaborators of Frank ter Veld 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 Frank ter Veld. Frank ter Veld 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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