Daniel M. Freed

34 total papers · 810 total citations
19 papers, 577 citations indexed

About

Daniel M. Freed is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel M. Freed has authored 19 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel M. Freed's work include Protein Degradation and Inhibitors (4 papers), Bone Tumor Diagnosis and Treatments (4 papers) and Electron Spin Resonance Studies (4 papers). Daniel M. Freed is often cited by papers focused on Protein Degradation and Inhibitors (4 papers), Bone Tumor Diagnosis and Treatments (4 papers) and Electron Spin Resonance Studies (4 papers). Daniel M. Freed collaborates with scholars based in United States, Singapore and Canada. Daniel M. Freed's co-authors include Mark A. Lemmon, Anatoly Kiyatkin, Nicholas J. Bessman, David S. Cafiso, Patrick O. Byrne, Kathryn M. Ferguson, Christopher C. Valley, Emanuel Salazar-Cavazos, Daniel J. Leahy and Diane S. Lidke and has published in prestigious journals such as Cell, Nature Communications and The Journal of Physical Chemistry B.

In The Last Decade

Daniel M. Freed

17 papers receiving 571 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. Freed 333 181 114 77 71 19 577
Karen K. Nadakavukaren 304 0.9× 100 0.6× 59 0.5× 34 0.4× 98 1.4× 17 634
Lionel Mignion 283 0.8× 127 0.7× 166 1.5× 55 0.7× 73 1.0× 34 691
Nobu Oshima 241 0.7× 163 0.9× 91 0.8× 22 0.3× 71 1.0× 30 501
Deepti Karandur 513 1.5× 86 0.5× 75 0.7× 29 0.4× 22 0.3× 14 630
Melissa Cheung 439 1.3× 126 0.7× 33 0.3× 32 0.4× 29 0.4× 17 574
Sonny Batra 328 1.0× 100 0.6× 117 1.0× 48 0.6× 138 1.9× 13 608
L Villeneuve 262 0.8× 91 0.5× 48 0.4× 69 0.9× 99 1.4× 16 585
Daniel Lafkas 343 1.0× 296 1.6× 49 0.4× 53 0.7× 147 2.1× 17 686
Réginald Ansiaux 225 0.7× 79 0.4× 241 2.1× 68 0.9× 62 0.9× 11 613
Florian Baumgart 264 0.8× 70 0.4× 57 0.5× 157 2.0× 77 1.1× 20 578

Countries citing papers authored by Daniel M. Freed

Since Specialization
Citations

This map shows the geographic impact of Daniel M. Freed'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. Freed 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. Freed more than expected).

Fields of papers citing papers by Daniel M. Freed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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