Roman Savka

48 total papers · 538 total citations
28 papers, 458 citations indexed

About

Roman Savka is a scholar working on Organic Chemistry, Molecular Biology and Oncology. According to data from OpenAlex, Roman Savka has authored 28 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Organic Chemistry, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Roman Savka's work include N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (11 papers), Synthesis and Characterization of Heterocyclic Compounds (10 papers) and Click Chemistry and Applications (9 papers). Roman Savka is often cited by papers focused on N-Heterocyclic Carbenes in Organic and Inorganic Chemistry (11 papers), Synthesis and Characterization of Heterocyclic Compounds (10 papers) and Click Chemistry and Applications (9 papers). Roman Savka collaborates with scholars based in Germany, Ukraine and Poland. Roman Savka's co-authors include Herbert Plenio, Nazariy T. Pokhodylo, Мыкола Д. Обушак, Sabine Foro, В. С. Матійчук, Olga Ya. Shyyka, Annette Andrieu‐Brunsen, Jonas Kind, M. Janssen and Christina M. Thiele and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemistry - A European Journal and Dalton Transactions.

In The Last Decade

Roman Savka

27 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Roman Savka	382	77	63	62	25	28	458
Nabin Kumar Meher	378 1.0×	130 1.7×	52 0.8×	41 0.7×	14 0.6×	29	475
Ernst Eibler	305 0.8×	76 1.0×	48 0.8×	58 0.9×	12 0.5×	25	548
A. P. Prakasham	448 1.2×	50 0.6×	73 1.2×	105 1.7×	26 1.0×	25	549
Kuangbiao Ma	285 0.7×	86 1.1×	117 1.9×	121 2.0×	14 0.6×	16	449
Byoung Se Lee	324 0.8×	134 1.7×	50 0.8×	53 0.9×	11 0.4×	24	484
I. UGI	412 1.1×	176 2.3×	42 0.7×	46 0.7×	14 0.6×	28	519
Jiansheng Tang	426 1.1×	99 1.3×	102 1.6×	155 2.5×	36 1.4×	37	549
Yicen Ge	386 1.0×	80 1.0×	77 1.2×	97 1.6×	12 0.5×	30	525
R. BALICKI	382 1.0×	135 1.8×	71 1.1×	73 1.2×	32 1.3×	33	472
Simone Potenti	294 0.8×	24 0.3×	77 1.2×	62 1.0×	26 1.0×	18	444

Countries citing papers authored by Roman Savka

Since Specialization

Citations

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

Fields of papers citing papers by Roman Savka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Savka

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