Svitlana Igel

29 total papers · 451 total citations
15 papers, 301 citations indexed

About

Svitlana Igel is a scholar working on Pharmacology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Svitlana Igel has authored 15 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pharmacology, 7 papers in Oncology and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Svitlana Igel's work include Pharmacogenetics and Drug Metabolism (9 papers), Estrogen and related hormone effects (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Svitlana Igel is often cited by papers focused on Pharmacogenetics and Drug Metabolism (9 papers), Estrogen and related hormone effects (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). Svitlana Igel collaborates with scholars based in Germany, United States and China. Svitlana Igel's co-authors include Matthias Schwab, Elke Schaeffeler, Simon U. Jaeger, Martin Stanulla, Jun J. Yang, Laura Hinze, Ute Hofmann, Michel Eichelbaum, Stefanie S. Brenner and Heike Tegude and has published in prestigious journals such as Clinical Cancer Research, Human Molecular Genetics and Clinical Pharmacology & Therapeutics.

In The Last Decade

Svitlana Igel

14 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Svitlana Igel	92	88	64	64	45	15	301
Jared Spitz	70 0.8×	58 0.7×	23 0.4×	141 2.2×	69 1.5×	23	328
Mengru Bai	49 0.5×	102 1.2×	23 0.4×	26 0.4×	85 1.9×	22	313
L. Meyler	32 0.3×	38 0.4×	31 0.5×	32 0.5×	50 1.1×	20	351
George Carruthers	106 1.2×	38 0.4×	19 0.3×	24 0.4×	43 1.0×	16	361
Bani Tamraz	47 0.5×	49 0.6×	18 0.3×	90 1.4×	36 0.8×	20	342
Tom Lea‐Henry	68 0.7×	23 0.3×	20 0.3×	27 0.4×	39 0.9×	12	351
Dongseong Shin	94 1.0×	46 0.5×	19 0.3×	36 0.6×	49 1.1×	35	346
Olga L. Zharikova	201 2.2×	54 0.6×	138 2.2×	78 1.2×	26 0.6×	15	364
I. Buggia	74 0.8×	85 1.0×	47 0.7×	59 0.9×	48 1.1×	7	356
Eva María Sáez Fernández	116 1.3×	27 0.3×	21 0.3×	23 0.4×	61 1.4×	11	344

Countries citing papers authored by Svitlana Igel

Since Specialization

Citations

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

Fields of papers citing papers by Svitlana Igel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Svitlana Igel

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