Karima Schwab

42 total papers · 558 total citations
28 papers, 382 citations indexed

About

Karima Schwab is a scholar working on Physiology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Karima Schwab has authored 28 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 11 papers in Cellular and Molecular Neuroscience and 10 papers in Molecular Biology. Recurrent topics in Karima Schwab's work include Alzheimer's disease research and treatments (11 papers), Neuroscience and Neuropharmacology Research (9 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Karima Schwab is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Neuroscience and Neuropharmacology Research (9 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Karima Schwab collaborates with scholars based in Germany, United Kingdom and United States. Karima Schwab's co-authors include Franz Theuring, Charles R. Harrington, Gernot Riedel, Frank Konietschke, Markus Pauly, Claude M. Wischik, Boris Neumann, Valeria Melis, Janet E. Rickard and David A. Horsley and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Life Sciences.

In The Last Decade

Karima Schwab

25 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Karima Schwab	164	95	83	60	57	28	382
Lei Zhao	132 0.8×	89 0.9×	38 0.5×	29 0.5×	121 2.1×	23	394
Li Wang	95 0.6×	154 1.6×	35 0.4×	47 0.8×	23 0.4×	21	417
V. Gourlet	144 0.9×	89 0.9×	39 0.5×	21 0.3×	44 0.8×	15	396
Mehmet Ozansoy	87 0.5×	143 1.5×	57 0.7×	40 0.7×	97 1.7×	26	376
Ilaria Piccialli	131 0.8×	137 1.4×	111 1.3×	71 1.2×	20 0.4×	27	381
Cheryl Flynn	48 0.3×	104 1.1×	78 0.9×	37 0.6×	28 0.5×	27	444
Jung S. Cho	185 1.1×	147 1.5×	78 0.9×	55 0.9×	8 0.1×	21	446
Anjali Sharma	69 0.4×	105 1.1×	40 0.5×	47 0.8×	21 0.4×	25	391
Valérie Leduc	174 1.1×	125 1.3×	51 0.6×	42 0.7×	42 0.7×	13	420
Veerta Sharma	105 0.6×	174 1.8×	38 0.5×	62 1.0×	31 0.5×	24	423

Countries citing papers authored by Karima Schwab

Since Specialization

Citations

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

Fields of papers citing papers by Karima Schwab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karima Schwab

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