Gesa Volkers

25 total papers · 478 total citations
10 papers, 231 citations indexed

About

Gesa Volkers is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Gesa Volkers has authored 10 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Immunology. Recurrent topics in Gesa Volkers's work include Glycosylation and Glycoproteins Research (4 papers), Metal-Catalyzed Oxygenation Mechanisms (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Gesa Volkers is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Metal-Catalyzed Oxygenation Mechanisms (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Gesa Volkers collaborates with scholars based in Canada, Germany and Switzerland. Gesa Volkers's co-authors include Winfried Hinrichs, Gottfried J. Palm, Gerard D. Wright, M.S. Weiss, N.C.J. Strynadka, Stephen G. Withers, L.J. Worrall, Lars Baumann, Warren W. Wakarchuk and David H. Kwan and has published in prestigious journals such as Cancer Research, Scientific Reports and FEBS Letters.

In The Last Decade

Gesa Volkers

10 papers receiving 229 citations

Author Peers

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

Author						Papers	Cites
Gesa Volkers	136	73	66	44	29	10	231
Joseph Fanous	132 1.0×	10 0.1×	83 1.3×	36 0.8×	19 0.7×	13	273
Logan D. Andrews	190 1.4×	12 0.2×	83 1.3×	35 0.8×	13 0.4×	11	329
Thomas J. Bateman	97 0.7×	14 0.2×	17 0.3×	25 0.6×	11 0.4×	15	237
Kelvin J. Y. Wu	149 1.1×	16 0.2×	51 0.8×	61 1.4×	8 0.3×	13	289
Yueming Xu	172 1.3×	12 0.2×	9 0.1×	36 0.8×	30 1.0×	12	329
Catherine Lee	98 0.7×	83 1.1×	70 1.1×	3 0.1×	45 1.6×	8	254
Sally Demirdjian	76 0.6×	14 0.2×	11 0.2×	34 0.8×	20 0.7×	17	239
Myung Hwan Lee	187 1.4×	42 0.6×	32 0.5×	11 0.3×	11 0.4×	11	295
Joan Chen	139 1.0×	7 0.1×	64 1.0×	25 0.6×	20 0.7×	15	277
Shazana Hilda Shamsuddin	119 0.9×	11 0.2×	30 0.5×	13 0.3×	14 0.5×	13	265

Countries citing papers authored by Gesa Volkers

Since Specialization

Citations

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

Fields of papers citing papers by Gesa Volkers

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gesa Volkers

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