Heidi de Wet

50 total papers · 2.2k total citations
35 papers, 1.7k citations indexed

About

Heidi de Wet is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Heidi de Wet has authored 35 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Surgery and 12 papers in Pathology and Forensic Medicine. Recurrent topics in Heidi de Wet's work include Cardiac Ischemia and Reperfusion (12 papers), Pancreatic function and diabetes (10 papers) and Drug Transport and Resistance Mechanisms (6 papers). Heidi de Wet is often cited by papers focused on Cardiac Ischemia and Reperfusion (12 papers), Pancreatic function and diabetes (10 papers) and Drug Transport and Resistance Mechanisms (6 papers). Heidi de Wet collaborates with scholars based in United Kingdom, South Africa and Japan. Heidi de Wet's co-authors include Frances M. Ashcroft, Peter Proks, David B. McIntosh, James L. Nichols, Anabelle Decottignies, André Goffeau, Althea M. Grant, Jussi Aittoniemi, Mark S.P. Sansom and F. S. Hough and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Heidi de Wet

34 papers receiving 1.7k citations

Author Peers

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

Author						Papers	Cites
Heidi de Wet	834	421	341	311	310	35	1.7k
Vijayakumar Sukumaran	735 0.9×	199 0.5×	189 0.6×	372 1.2×	197 0.6×	43	2.0k
Ye Ding	723 0.9×	369 0.9×	145 0.4×	180 0.6×	105 0.3×	37	1.7k
Theresia Thalhammer	834 1.0×	658 1.6×	161 0.5×	128 0.4×	160 0.5×	79	2.4k
Andrea E. DeBarber	777 0.9×	254 0.6×	475 1.4×	372 1.2×	119 0.4×	49	1.8k
Aditya Ambade	773 0.9×	157 0.4×	158 0.5×	250 0.8×	615 2.0×	25	2.1k
Ivana Serraino	657 0.8×	220 0.5×	257 0.8×	128 0.4×	155 0.5×	37	2.3k
Kei Yamamoto	1.2k 1.4×	140 0.3×	250 0.7×	143 0.5×	139 0.4×	41	2.4k
M. Pilar Lostao	877 1.1×	313 0.7×	495 1.5×	373 1.2×	51 0.2×	69	1.9k
Peter Krippeit‐Drews	769 0.9×	179 0.4×	882 2.6×	442 1.4×	162 0.5×	61	1.8k
Elaine M. Conner	854 1.0×	249 0.6×	276 0.8×	79 0.3×	105 0.3×	32	2.3k

Countries citing papers authored by Heidi de Wet

Since Specialization

Citations

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

Fields of papers citing papers by Heidi de Wet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heidi de Wet. 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 Heidi de Wet. The network helps show where Heidi de Wet may publish in the future.

Co-authorship network of co-authors of Heidi de Wet

This figure shows the co-authorship network connecting the top 25 collaborators of Heidi de Wet. A scholar is included among the top collaborators of Heidi de Wet 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 Heidi de Wet. Heidi de Wet 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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