Tina Mutka

31 total papers · 1.1k total citations
21 papers, 646 citations indexed

About

Tina Mutka is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Tina Mutka has authored 21 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 10 papers in Molecular Biology and 9 papers in Organic Chemistry. Recurrent topics in Tina Mutka's work include Malaria Research and Control (8 papers), Phenothiazines and Benzothiazines Synthesis and Activities (6 papers) and Marine Sponges and Natural Products (5 papers). Tina Mutka is often cited by papers focused on Malaria Research and Control (8 papers), Phenothiazines and Benzothiazines Synthesis and Activities (6 papers) and Marine Sponges and Natural Products (5 papers). Tina Mutka collaborates with scholars based in United States, Switzerland and Hong Kong. Tina Mutka's co-authors include Dennis E. Kyle, Roman Manetsch, R. Matthew Cross, Jeremy N. Burrows, Andrii Monastyrskyi, Bill J. Baker, Alberto van Olphen, Matthew S. Tucker, Fabián E. Saénz and Kenneth Udenze and has published in prestigious journals such as Journal of Medicinal Chemistry, Antimicrobial Agents and Chemotherapy and The Journal of Organic Chemistry.

In The Last Decade

Tina Mutka

20 papers receiving 636 citations

Author Peers

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

Author						Papers	Cites
Tina Mutka	246	242	209	166	106	21	646
Burkhard Fugmann	261 1.1×	309 1.3×	166 0.8×	126 0.8×	43 0.4×	25	782
Karolina Ersmark	218 0.9×	283 1.2×	288 1.4×	84 0.5×	79 0.7×	20	723
U. A. K. Kara	318 1.3×	158 0.7×	206 1.0×	91 0.5×	185 1.7×	20	694
Séverine Chevalley	301 1.2×	230 1.0×	240 1.1×	118 0.7×	89 0.8×	20	793
Cláudio César Cirne-Santos	118 0.5×	135 0.6×	183 0.9×	70 0.4×	128 1.2×	30	667
Fatima El Garah	216 0.9×	222 0.9×	215 1.0×	68 0.4×	15 0.1×	22	660
Chakapong Intaraudom	63 0.3×	160 0.7×	216 1.0×	282 1.7×	107 1.0×	48	583
Guy A. Schiehser	135 0.5×	304 1.3×	250 1.2×	57 0.3×	32 0.3×	23	670
Nassira Mahmoudi	223 0.9×	105 0.4×	198 0.9×	44 0.3×	27 0.3×	15	571
Jehad Almaliti	85 0.3×	100 0.4×	319 1.5×	218 1.3×	157 1.5×	33	615

Countries citing papers authored by Tina Mutka

Since Specialization

Citations

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

Fields of papers citing papers by Tina Mutka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Mutka

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