Daniel M. Lipinski

70 total papers · 1.2k total citations
38 papers, 909 citations indexed

About

Daniel M. Lipinski is a scholar working on Molecular Biology, Genetics and Ophthalmology. According to data from OpenAlex, Daniel M. Lipinski has authored 38 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 19 papers in Genetics and 15 papers in Ophthalmology. Recurrent topics in Daniel M. Lipinski's work include Retinal Development and Disorders (27 papers), Virus-based gene therapy research (18 papers) and Retinal Diseases and Treatments (12 papers). Daniel M. Lipinski is often cited by papers focused on Retinal Development and Disorders (27 papers), Virus-based gene therapy research (18 papers) and Retinal Diseases and Treatments (12 papers). Daniel M. Lipinski collaborates with scholars based in United States, United Kingdom and Germany. Daniel M. Lipinski's co-authors include Robert E. MacLaren, Alun R. Barnard, Mandeep S. Singh, Peter Charbel Issa, Miriam Thake, Chris Martin, Rachel Butler, Sumathi Sekaran, Samantha R. De Silva and Thomas B. Connor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Daniel M. Lipinski

37 papers receiving 893 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel M. Lipinski 797 293 252 218 136 38 909
Marion Tschernutter 753 0.9× 286 1.0× 201 0.8× 200 0.9× 116 0.9× 20 912
Hilda Petrs‐Silva 838 1.1× 210 0.7× 187 0.7× 388 1.8× 87 0.6× 34 957
Felix Tonagel 770 1.0× 345 1.2× 132 0.5× 119 0.5× 123 0.9× 34 1.0k
Teruyo Tanabe 578 0.7× 427 1.5× 225 0.9× 165 0.8× 286 2.1× 18 930
Umberto Di Vicino 776 1.0× 152 0.5× 189 0.8× 262 1.2× 74 0.5× 22 944
Elena Marrocco 831 1.0× 183 0.6× 153 0.6× 258 1.2× 55 0.4× 27 959
Freya M. Mowat 532 0.7× 338 1.2× 129 0.5× 205 0.9× 123 0.9× 53 805
Jasmina Cehajic‐Kapetanovic 781 1.0× 434 1.5× 372 1.5× 99 0.5× 215 1.6× 66 1.0k
Guylène Le Meur 854 1.1× 373 1.3× 166 0.7× 433 2.0× 131 1.0× 43 1.0k
Kenneth P. Greenberg 682 0.9× 223 0.8× 386 1.5× 161 0.7× 134 1.0× 22 897

Countries citing papers authored by Daniel M. Lipinski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel M. Lipinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel M. Lipinski. 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 Daniel M. Lipinski. The network helps show where Daniel M. Lipinski may publish in the future.

Co-authorship network of co-authors of Daniel M. Lipinski

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel M. Lipinski. A scholar is included among the top collaborators of Daniel M. Lipinski 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 Daniel M. Lipinski. Daniel M. Lipinski 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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