Martin Kramer

41 total papers · 1.1k total citations
22 papers, 697 citations indexed

About

Martin Kramer is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Martin Kramer has authored 22 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Epidemiology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Martin Kramer's work include Biochemical and Molecular Research (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers) and Epigenetics and DNA Methylation (2 papers). Martin Kramer is often cited by papers focused on Biochemical and Molecular Research (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers) and Epigenetics and DNA Methylation (2 papers). Martin Kramer collaborates with scholars based in Germany, United States and United Kingdom. Martin Kramer's co-authors include Christopher J. Burke, Matthew L. Tomlinson, Sutheera Ratanasirintrawoot, Peter B. Rahl, Scott R. Granter, Grant N. Wheeler, Richard M. White, Donna Neuberg, Richard A. Young and Leonard I. Zon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Martin Kramer

22 papers receiving 682 citations

Author Peers

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

Author						Papers	Cites
Martin Kramer	440	159	83	74	68	22	697
Robert M. DeKroon	391 0.9×	98 0.6×	82 1.0×	62 0.8×	63 0.9×	26	759
Cagla Akay	289 0.7×	83 0.5×	34 0.4×	60 0.8×	57 0.8×	31	711
Billy W. Newton	534 1.2×	160 1.0×	36 0.4×	56 0.8×	124 1.8×	21	771
Danièle Salaün	328 0.7×	109 0.7×	54 0.7×	61 0.8×	38 0.6×	24	651
Yuan Ren	436 1.0×	152 1.0×	46 0.6×	39 0.5×	30 0.4×	41	683
Francisca N’Kuli	431 1.0×	241 1.5×	60 0.7×	20 0.3×	47 0.7×	16	757
Caroline Schönfeld	212 0.5×	61 0.4×	99 1.2×	26 0.4×	107 1.6×	14	582
Vien Nguyen	323 0.7×	30 0.2×	78 0.9×	79 1.1×	50 0.7×	30	695
Mária Magócsi	350 0.8×	90 0.6×	40 0.5×	35 0.5×	24 0.4×	25	711
Julian R. Smith	355 0.8×	45 0.3×	39 0.5×	56 0.8×	47 0.7×	26	690

Countries citing papers authored by Martin Kramer

Since Specialization

Citations

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

Fields of papers citing papers by Martin Kramer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Kramer

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