Michael R. Knittler

64 total papers · 1.8k total citations
43 papers, 1.4k citations indexed

About

Michael R. Knittler is a scholar working on Molecular Biology, Immunology and Microbiology. According to data from OpenAlex, Michael R. Knittler has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 14 papers in Immunology and 12 papers in Microbiology. Recurrent topics in Michael R. Knittler's work include Reproductive tract infections research (8 papers), Vector-borne infectious diseases (8 papers) and RNA Interference and Gene Delivery (7 papers). Michael R. Knittler is often cited by papers focused on Reproductive tract infections research (8 papers), Vector-borne infectious diseases (8 papers) and RNA Interference and Gene Delivery (7 papers). Michael R. Knittler collaborates with scholars based in Germany, United States and Croatia. Michael R. Knittler's co-authors include Ingrid G. Haas, Konrad Sachse, Ralf M. Leonhardt, Jonathan C. Howard, Pēteris Alberts, Edward V. Deverson, Oliver Daumke, Kirstin Keusekotten, Hanns-Joachim Rziha and Fréderic Emschermann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Michael R. Knittler

42 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Michael R. Knittler 611 439 330 288 237 43 1.4k
Nikolaus Machuy 748 1.2× 513 1.2× 529 1.6× 256 0.9× 187 0.8× 21 1.5k
Per Hagblom 595 1.0× 334 0.8× 206 0.6× 335 1.2× 157 0.7× 21 1.7k
Anne Eugster 577 0.9× 438 1.0× 185 0.6× 94 0.3× 362 1.5× 78 1.7k
Shintaro Seto 394 0.6× 319 0.7× 445 1.3× 425 1.5× 146 0.6× 49 1.3k
Ludovic Huot 843 1.4× 378 0.9× 331 1.0× 149 0.5× 89 0.4× 29 1.5k
Linda Eissenberg 347 0.6× 232 0.5× 626 1.9× 171 0.6× 122 0.5× 25 1.2k
B L Pasloske 635 1.0× 432 1.0× 145 0.4× 102 0.4× 65 0.3× 29 1.7k
Tie Chen 439 0.7× 372 0.8× 143 0.4× 383 1.3× 43 0.2× 52 1.4k
Kiichi Kajino 769 1.3× 595 1.4× 275 0.8× 55 0.2× 65 0.3× 46 1.8k
Carol P. Gibbs 481 0.8× 133 0.3× 236 0.7× 456 1.6× 56 0.2× 21 1.1k

Countries citing papers authored by Michael R. Knittler

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Knittler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Knittler. 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 Michael R. Knittler. The network helps show where Michael R. Knittler may publish in the future.

Co-authorship network of co-authors of Michael R. Knittler

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Knittler. A scholar is included among the top collaborators of Michael R. Knittler 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 Michael R. Knittler. Michael R. Knittler 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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