Marion C. Wakeham

12 total papers · 877 total citations
12 papers, 740 citations indexed

About

Marion C. Wakeham is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Marion C. Wakeham has authored 12 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Marion C. Wakeham's work include Photosynthetic Processes and Mechanisms (11 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Photoreceptor and optogenetics research (5 papers). Marion C. Wakeham is often cited by papers focused on Photosynthetic Processes and Mechanisms (11 papers), Spectroscopy and Quantum Chemical Studies (5 papers) and Photoreceptor and optogenetics research (5 papers). Marion C. Wakeham collaborates with scholars based in United Kingdom, France and Netherlands. Marion C. Wakeham's co-authors include Piero Marchetti, Paul K. Fyfe, Lutgart Overbergh, Guy A. Rutter, Laurence Ladrière, Joanne Rasschaert, Alessandra K. Cardozo, Tsonwin Hai, Chantal Mathieu and Daniel A. Cunha and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and FEBS Letters.

In The Last Decade

Marion C. Wakeham

12 papers receiving 720 citations

Author Peers

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

Author						Papers	Cites
Marion C. Wakeham	386	342	296	149	120	12	740
Y. Nagamachi	292 0.8×	118 0.3×	305 1.0×	265 1.8×	30 0.3×	13	772
L. McLean	539 1.4×	210 0.6×	111 0.4×	20 0.1×	41 0.3×	13	805
M Leiser	521 1.3×	399 1.2×	91 0.3×	24 0.2×	230 1.9×	21	834
Bronwyn L. Razzaboni	367 1.0×	263 0.8×	128 0.4×	28 0.2×	136 1.1×	9	856
Wang-Ni Tian	417 1.1×	80 0.2×	126 0.4×	28 0.2×	54 0.5×	9	805
Simon Q.J. Rice	464 1.2×	243 0.7×	60 0.2×	88 0.6×	46 0.4×	14	902
T. Sawada	281 0.7×	72 0.2×	299 1.0×	151 1.0×	36 0.3×	22	713
Marc Pelletier	587 1.5×	60 0.2×	112 0.4×	43 0.3×	30 0.3×	15	768
Sarah J. Larkin	209 0.5×	135 0.4×	71 0.2×	114 0.8×	48 0.4×	15	809
R C Carroll	407 1.1×	71 0.2×	104 0.4×	21 0.1×	69 0.6×	18	813

Countries citing papers authored by Marion C. Wakeham

Since Specialization

Citations

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

Fields of papers citing papers by Marion C. Wakeham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion C. Wakeham. 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 Marion C. Wakeham. The network helps show where Marion C. Wakeham may publish in the future.

Co-authorship network of co-authors of Marion C. Wakeham

This figure shows the co-authorship network connecting the top 25 collaborators of Marion C. Wakeham. A scholar is included among the top collaborators of Marion C. Wakeham 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 Marion C. Wakeham. Marion C. Wakeham 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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