Fred Kolling

285 total papers · 800 total citations
27 papers, 306 citations indexed

About

Fred Kolling is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Fred Kolling has authored 27 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Immunology. Recurrent topics in Fred Kolling's work include Single-cell and spatial transcriptomics (6 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (4 papers). Fred Kolling is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (4 papers). Fred Kolling collaborates with scholars based in United States, Canada and Belgium. Fred Kolling's co-authors include Claudia Jakubzick, Xin Li, Sophie L. Gibbings, Arlind B. Mara, W. T. King, Jiang Gui, Christina V. Angeles, Chao Cheng, Anita Tewari and Yanding Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Fred Kolling

21 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
Fred Kolling 151 117 96 47 31 27 306
Nana Arai 133 0.9× 111 0.9× 61 0.6× 27 0.6× 26 0.8× 32 350
Chungyong Han 166 1.1× 137 1.2× 107 1.1× 36 0.8× 33 1.1× 20 307
Farid Ghorbaninezhad 144 1.0× 134 1.1× 116 1.2× 40 0.9× 57 1.8× 25 313
Naveen Sharma 183 1.2× 107 0.9× 82 0.9× 32 0.7× 32 1.0× 27 321
Salar Pashangzadeh 123 0.8× 80 0.7× 96 1.0× 34 0.7× 39 1.3× 22 275
Laura Amo 114 0.8× 114 1.0× 119 1.2× 22 0.5× 29 0.9× 24 302
Jeoung-Eun Park 164 1.1× 67 0.6× 84 0.9× 37 0.8× 50 1.6× 20 310
Yi Hu 84 0.6× 79 0.7× 124 1.3× 58 1.2× 37 1.2× 32 346
Hiromichi Gomi 94 0.6× 83 0.7× 140 1.5× 84 1.8× 25 0.8× 21 316
Hanxi Xiao 163 1.1× 76 0.6× 107 1.1× 23 0.5× 46 1.5× 19 300

Countries citing papers authored by Fred Kolling

Since Specialization
Citations

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

Fields of papers citing papers by Fred Kolling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fred Kolling

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