Inka Leier

37 total papers · 6.2k total citations
35 papers, 5.2k citations indexed

About

Inka Leier is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Inka Leier has authored 35 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 13 papers in Pediatrics, Perinatology and Child Health and 8 papers in Molecular Biology. Recurrent topics in Inka Leier's work include Drug Transport and Resistance Mechanisms (27 papers), Pharmacological Effects and Toxicity Studies (10 papers) and Pediatric Hepatobiliary Diseases and Treatments (7 papers). Inka Leier is often cited by papers focused on Drug Transport and Resistance Mechanisms (27 papers), Pharmacological Effects and Toxicity Studies (10 papers) and Pediatric Hepatobiliary Diseases and Treatments (7 papers). Inka Leier collaborates with scholars based in Germany, United States and Canada. Inka Leier's co-authors include Dietrich Keppler, Gabriele Jedlitschky, Ulrike Buchholz, Jörg König, Yunhai Cui, Anne T. Nies, Susan P.C. Cole, R G Deeley, Melvin S. Center and Johanna Hummel-Eisenbeiss and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Gastroenterology.

In The Last Decade

Inka Leier

35 papers receiving 5.0k citations

Hit Papers

The MRP gene encodes an A... 1994 2026 2004 2015 1994 1999 1999 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Inka Leier 4.0k 2.1k 1.4k 990 638 35 5.2k
Marcel de Haas 4.2k 1.0× 1.7k 0.8× 2.1k 1.5× 1.0k 1.0× 666 1.0× 36 6.0k
Yunhai Cui 3.4k 0.9× 1.9k 0.9× 885 0.6× 733 0.7× 433 0.7× 32 4.3k
Caroline E. Grant 4.0k 1.0× 1.4k 0.6× 2.0k 1.5× 865 0.9× 638 1.0× 34 5.2k
Martin A. van der Valk 4.1k 1.0× 1.8k 0.9× 2.1k 1.5× 1.0k 1.0× 373 0.6× 47 6.2k
Kurt C. Almquist 3.8k 0.9× 1.3k 0.6× 1.9k 1.4× 838 0.8× 576 0.9× 22 4.7k
Anne T. Nies 5.1k 1.3× 2.4k 1.1× 2.0k 1.4× 1.2k 1.2× 570 0.9× 91 7.3k
Gabriele Jedlitschky 5.1k 1.3× 2.4k 1.1× 2.1k 1.5× 1.2k 1.2× 860 1.3× 104 7.4k
Carla A.A.M. Mol 6.1k 1.5× 3.4k 1.6× 1.7k 1.3× 1.4k 1.4× 597 0.9× 16 7.8k
Gary D. Kruh 4.3k 1.1× 1.5k 0.7× 3.0k 2.1× 918 0.9× 618 1.0× 70 6.9k
Coen C. Paulusma 3.4k 0.8× 1.3k 0.6× 1.6k 1.2× 1.8k 1.8× 489 0.8× 68 5.2k

Countries citing papers authored by Inka Leier

Since Specialization
Citations

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

Fields of papers citing papers by Inka Leier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inka Leier

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