Mark D. Redwood

16 total papers · 736 total citations
13 papers, 557 citations indexed

About

Mark D. Redwood is a scholar working on Biomedical Engineering, Environmental Engineering and Molecular Biology. According to data from OpenAlex, Mark D. Redwood has authored 13 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Environmental Engineering and 4 papers in Molecular Biology. Recurrent topics in Mark D. Redwood's work include Microbial Fuel Cells and Bioremediation (5 papers), Microbial bioremediation and biosurfactants (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Mark D. Redwood is often cited by papers focused on Microbial Fuel Cells and Bioremediation (5 papers), Microbial bioremediation and biosurfactants (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Mark D. Redwood collaborates with scholars based in United Kingdom, China and France. Mark D. Redwood's co-authors include Lynne E. Macaskie, M. Paterson‐Beedle, Rafael L. Orozco, Iryna P. Mikheenko, Frank Sargent, K. Deplanche, Artur J. Majewski, Victoria S. Baxter‐Plant, Ping Yong and Gary A. Leeke and has published in prestigious journals such as Bioresource Technology, International Journal of Hydrogen Energy and Biotechnology and Bioengineering.

In The Last Decade

Mark D. Redwood

13 papers receiving 544 citations

Author Peers

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

Author						Papers	Cites
Mark D. Redwood	259	169	165	142	113	13	557
Velan Pugalenthi	265 1.0×	230 1.4×	149 0.9×	108 0.8×	97 0.9×	19	620
Chun-Yen Chen	273 1.1×	182 1.1×	97 0.6×	200 1.4×	160 1.4×	12	612
Manuela Leticia Kim	108 0.4×	127 0.8×	112 0.7×	152 1.1×	92 0.8×	26	646
Mao-Jin Cui	294 1.1×	306 1.8×	184 1.1×	125 0.9×	130 1.2×	19	577
Balasubramani Ramprakash	164 0.6×	201 1.2×	141 0.9×	143 1.0×	102 0.9×	15	497
Karin Willquist	360 1.4×	283 1.7×	145 0.9×	69 0.5×	307 2.7×	22	679
Bo Wu	217 0.8×	193 1.1×	71 0.4×	121 0.9×	39 0.3×	11	562
Hitoshi Yokoi	208 0.8×	184 1.1×	68 0.4×	40 0.3×	138 1.2×	18	593
Mikołaj Stodolny	226 0.9×	323 1.9×	73 0.4×	86 0.6×	176 1.6×	18	577
Neda Akhlaghi	161 0.6×	100 0.6×	56 0.3×	162 1.1×	70 0.6×	15	673

Countries citing papers authored by Mark D. Redwood

Since Specialization

Citations

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

Fields of papers citing papers by Mark D. Redwood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Redwood. 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 Mark D. Redwood. The network helps show where Mark D. Redwood may publish in the future.

Co-authorship network of co-authors of Mark D. Redwood

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Redwood. A scholar is included among the top collaborators of Mark D. Redwood 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 Mark D. Redwood. Mark D. Redwood 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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