K Kesper

696 total citations
10 papers, 370 citations indexed

About

K Kesper is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, K Kesper has authored 10 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in K Kesper's work include Muscle Physiology and Disorders (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Medical Imaging Techniques and Applications (2 papers). K Kesper is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Genetic Neurodegenerative Diseases (3 papers) and Medical Imaging Techniques and Applications (2 papers). K Kesper collaborates with scholars based in Germany, United States and Belgium. K Kesper's co-authors include Rolf Schröder, Mike P. Wattjes, Cornelia Kornblum, G Lutterbey, Hans H. Schild, M. Bogdanow, K. Wienhard, Jens A. Petersen, Andreas H. Jacobs and Christian Kubisch and has published in prestigious journals such as Neurology, Clinical Cancer Research and Journal of Neurology.

In The Last Decade

K Kesper

9 papers receiving 367 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
K Kesper Germany	7	232	154	104	93	89	10	370
Vincenzo Giglio Italy	7	322 1.4×	58 0.4×	43 0.4×	23 0.2×	195 2.2×	10	417
Karolina Hankiewicz Spain	9	214 0.9×	61 0.4×	62 0.6×	16 0.2×	106 1.2×	14	391
Carmen Paradas Spain	14	389 1.7×	152 1.0×	100 1.0×	20 0.2×	72 0.8×	52	613
Daniel Kjellgren Sweden	9	168 0.7×	40 0.3×	26 0.3×	48 0.5×	37 0.4×	11	455
Karolina Motloch Austria	12	145 0.6×	52 0.3×	19 0.2×	130 1.4×	37 0.4×	17	455
Helle Petri Denmark	11	301 1.3×	218 1.4×	48 0.5×	18 0.2×	269 3.0×	19	475
Julia Raykin United States	11	108 0.5×	47 0.3×	21 0.2×	81 0.9×	25 0.3×	21	368
Roula Ghaoui Australia	10	300 1.3×	131 0.9×	121 1.2×	10 0.1×	96 1.1×	22	486
Sujatha A. Jayakody United Kingdom	5	304 1.3×	72 0.5×	97 0.9×	26 0.3×	7 0.1×	5	485
Ara Kaprelyan Bulgaria	7	144 0.6×	57 0.4×	50 0.5×	25 0.3×	16 0.2×	36	263

Countries citing papers authored by K Kesper

Since Specialization

Citations

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

Fields of papers citing papers by K Kesper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Kesper

This figure shows the co-authorship network connecting the top 25 collaborators of K Kesper. A scholar is included among the top collaborators of K Kesper 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 K Kesper. K Kesper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

Kesper, K, Cornelia Kornblum, Jens Reimann, et al.. (2008). Pattern of skeletal muscle involvement in primary dysferlinopathies: a whole-body 3.0-T magnetic resonance imaging study. Acta Neurologica Scandinavica. 120(2). 111–118. 45 indexed citations

Ullrich, Roland T., Heiko Backes, Hongfeng Li, et al.. (2008). Glioma Proliferation as Assessed by 3‘-Fluoro-3’-Deoxy-l-Thymidine Positron Emission Tomography in Patients with Newly Diagnosed High-Grade Glioma. Clinical Cancer Research. 14(7). 2049–2055. 90 indexed citations

Ullrich, Roland T., Heiko Backes, L. Kracht, et al.. (2008). Glioma proliferation as assessed by FLT-PET in patients with newly diagnosed high grade glioma. Aktuelle Neurologie. 35(S 01).

Kornblum, Cornelia, G Lutterbey, M. Bogdanow, et al.. (2006). Distinct neuromuscular phenotypes in myotonic dystrophy types 1 and 2. Journal of Neurology. 253(6). 753–761. 85 indexed citations

Schulze, Thomas G., Johannes Schumacher, K Kesper, et al.. (2006). No evidence for association between NOTCH4 and schizophrenia in a large family-based and case–control association analysis. Psychiatric Genetics. 16(5). 197–203. 6 indexed citations

Fischer, Dirk, Maggie C. Walter, K Kesper, et al.. (2005). Diagnostic value of muscle MRI in differentiating LGMD2I from other LGMDs. Journal of Neurology. 252(5). 538–547. 103 indexed citations

Walter, Martin, K Kesper, J. Petersen, et al.. (2004). Diagnostic value of muscle MRI in differentiating LGMD2I from other LGMDs. Aktuelle Neurologie. 31(S 1). 4 indexed citations

Linnebank, Michael, et al.. (2003). Hereditary elevation of angiotensin converting enzyme suggesting neurosarcoidosis. Neurology. 61(12). 1819–1820. 11 indexed citations

Müller, Daniel J., Thomas G. Schulze, Sven Cichon, et al.. (2001). Association between a polymorphism in the pseudoautosomal X‐linked gene SYBL1 and bipolar affective disorder. American Journal of Medical Genetics. 114(1). 74–78. 23 indexed citations

10.

Cichon, Sven, K Kesper, Peter Propping, & Markus M. Nöthen. (1998). Assignment of the human serotonin 4 receptor gene (HTR4) to the long arm of chromosome 5 (5q31–q33). Molecular Membrane Biology. 15(2). 75–78. 3 indexed citations

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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