Francis Insaidoo

20 total papers · 452 total citations
13 papers, 309 citations indexed

About

Francis Insaidoo is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Francis Insaidoo has authored 13 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Immunology. Recurrent topics in Francis Insaidoo's work include Monoclonal and Polyclonal Antibodies Research (7 papers), Protein purification and stability (4 papers) and Immune Cell Function and Interaction (4 papers). Francis Insaidoo is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), Protein purification and stability (4 papers) and Immune Cell Function and Interaction (4 papers). Francis Insaidoo collaborates with scholars based in United States, Denmark and Switzerland. Francis Insaidoo's co-authors include Brian M. Baker, Oleg Y. Borbulevych, Tiffany K. Baxter, Kathryn M. Armstrong, Laura A. Johnson, Nicholas P. Restifo, Daniel J. Powell, Moushumi Hossain, Kurt H. Piepenbrink and David M. Kranz and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Francis Insaidoo

13 papers receiving 306 citations

Author Peers

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

Author						Papers	Cites
Francis Insaidoo	199	154	128	66	15	13	309
Christian M. Orr	126 0.6×	129 0.8×	103 0.8×	79 1.2×	16 1.1×	17	283
Alexandra M. Terry	139 0.7×	140 0.9×	63 0.5×	84 1.3×	8 0.5×	14	307
Stephen Rapecki	112 0.6×	99 0.6×	69 0.5×	53 0.8×	11 0.7×	11	267
Taylor Sicard	107 0.5×	144 0.9×	63 0.5×	73 1.1×	9 0.6×	9	256
Patrícia Serra	78 0.4×	78 0.5×	79 0.6×	87 1.3×	14 0.9×	11	312
Milena Pavlović	113 0.6×	187 1.2×	144 1.1×	16 0.2×	12 0.8×	13	272
Guillaume Brachet	100 0.5×	91 0.6×	66 0.5×	25 0.4×	20 1.3×	13	311
Anup Zutshi	72 0.4×	131 0.9×	96 0.8×	58 0.9×	10 0.7×	18	261
Ju Liu	195 1.0×	130 0.8×	87 0.7×	17 0.3×	10 0.7×	12	340
Moushumi Hossain	249 1.3×	90 0.6×	96 0.8×	139 2.1×	13 0.9×	7	323

Countries citing papers authored by Francis Insaidoo

Since Specialization

Citations

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

Fields of papers citing papers by Francis Insaidoo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Insaidoo

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