Vanessa Venning

46 total papers · 1.9k total citations
30 papers, 841 citations indexed

About

Vanessa Venning is a scholar working on Pathology and Forensic Medicine, Rheumatology and Genetics. According to data from OpenAlex, Vanessa Venning has authored 30 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pathology and Forensic Medicine, 12 papers in Rheumatology and 8 papers in Genetics. Recurrent topics in Vanessa Venning's work include Autoimmune Bullous Skin Diseases (15 papers), Urticaria and Related Conditions (10 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers). Vanessa Venning is often cited by papers focused on Autoimmune Bullous Skin Diseases (15 papers), Urticaria and Related Conditions (10 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (8 papers). Vanessa Venning collaborates with scholars based in United Kingdom, Canada and Denmark. Vanessa Venning's co-authors include Fenella Wojnarowska, Gudula Kirtschig, A.S. Highet, Kathy Taghipour, Nonhlanhla P. Khumalo, Angela Vincent, Ching‐Chi Chi, Richard Groves, M. Byron and A G Mowat and has published in prestigious journals such as The Lancet, Journal of Investigative Dermatology and Journal of the American Academy of Dermatology.

In The Last Decade

Vanessa Venning

30 papers receiving 794 citations

Author Peers

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

Author						Papers	Cites
Vanessa Venning	563	435	408	100	85	30	841
B. Bhogal	621 1.1×	501 1.2×	352 0.9×	35 0.3×	100 1.2×	35	863
Conleth A. Egan	532 0.9×	445 1.0×	298 0.7×	118 1.2×	122 1.4×	51	957
Fabienne Jaunin	378 0.7×	302 0.7×	280 0.7×	27 0.3×	68 0.8×	17	967
Farzan Solimani	433 0.8×	301 0.7×	185 0.5×	54 0.5×	158 1.9×	40	866
Khalil A. Khatri	299 0.5×	234 0.5×	187 0.5×	97 1.0×	61 0.7×	32	933
Richard P. Kaplan	383 0.7×	225 0.5×	154 0.4×	207 2.1×	147 1.7×	33	817
G P Haffenden	643 1.1×	384 0.9×	229 0.6×	129 1.3×	177 2.1×	20	858
Franziska Vielmuth	416 0.7×	214 0.5×	335 0.8×	78 0.8×	31 0.4×	48	1.0k
Zahra Hallaji	561 1.0×	352 0.8×	350 0.9×	30 0.3×	215 2.5×	36	951
J.R. Hughes	220 0.4×	146 0.3×	114 0.3×	53 0.5×	170 2.0×	24	782

Countries citing papers authored by Vanessa Venning

Since Specialization

Citations

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

Fields of papers citing papers by Vanessa Venning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Venning

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