Grazyna Fedorowicz

22 total papers · 1.0k total citations
11 papers, 774 citations indexed

About

Grazyna Fedorowicz is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Grazyna Fedorowicz has authored 11 papers receiving a total of 774 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Grazyna Fedorowicz's work include Asthma and respiratory diseases (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). Grazyna Fedorowicz is often cited by papers focused on Asthma and respiratory diseases (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and IL-33, ST2, and ILC Pathways (2 papers). Grazyna Fedorowicz collaborates with scholars based in United States, France and Singapore. Grazyna Fedorowicz's co-authors include Zora Modrušan, Inna Zilberleyb, Christine Tam, Lars Neumann, Christopher M. Koth, Robert Mintzer, Janet L. Gunzner, Trudy F. C. Mackay, Pascal Steiner and Patrick J. Lupardus and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and The Journal of Immunology.

In The Last Decade

Grazyna Fedorowicz

11 papers receiving 755 citations

Author Peers

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

Author Last Decade Papers Cites
Grazyna Fedorowicz 472 141 131 128 98 11 774
Kathleen Clancy 609 1.3× 132 0.9× 60 0.5× 48 0.4× 59 0.6× 14 909
Margaret S. Dordal 432 0.9× 129 0.9× 71 0.5× 130 1.0× 68 0.7× 12 823
Juliana J. Conkright 352 0.7× 163 1.2× 138 1.1× 155 1.2× 25 0.3× 15 855
Jasmine H.P. Chan 538 1.1× 75 0.5× 210 1.6× 75 0.6× 22 0.2× 9 859
Jan H. Reiling 546 1.2× 70 0.5× 76 0.6× 110 0.9× 19 0.2× 12 835
Nagma Khan 700 1.5× 178 1.3× 39 0.3× 54 0.4× 114 1.2× 8 826
Zhen Tong 463 1.0× 209 1.5× 33 0.3× 81 0.6× 43 0.4× 10 743
Carl-Magnus Clausson 475 1.0× 99 0.7× 129 1.0× 95 0.7× 30 0.3× 11 795
Markus K. Muellner 468 1.0× 137 1.0× 83 0.6× 69 0.5× 16 0.2× 14 824
Janey N. Parsons 384 0.8× 126 0.9× 60 0.5× 24 0.2× 58 0.6× 10 690

Countries citing papers authored by Grazyna Fedorowicz

Since Specialization
Citations

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

Fields of papers citing papers by Grazyna Fedorowicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grazyna Fedorowicz

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