J P Paccaud

27 total papers · 1.5k total citations
20 papers, 1.2k citations indexed

About

J P Paccaud is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hematology. According to data from OpenAlex, J P Paccaud has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Hematology. Recurrent topics in J P Paccaud's work include Complement system in diseases (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Blood groups and transfusion (5 papers). J P Paccaud is often cited by papers focused on Complement system in diseases (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Blood groups and transfusion (5 papers). J P Paccaud collaborates with scholars based in Switzerland, United States and United Kingdom. J P Paccaud's co-authors include J.A. Schifferli, Jürg A. Schifferli, J L Carpentier, G Steiger, J L Carpentier, Marco Baggiolini, Anouk E. Muller, Angela Huttner, Johan W. Mouton and Jens Kjølseth Møller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

J P Paccaud

20 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
J P Paccaud	417	383	185	177	142	20	1.2k
Myriam Fabre	273 0.7×	632 1.7×	177 1.0×	108 0.6×	49 0.3×	33	1.4k
Sara B. Kramer	211 0.5×	329 0.9×	101 0.5×	54 0.3×	120 0.8×	10	1.0k
Kathë A. Stanness	283 0.7×	360 0.9×	88 0.5×	69 0.4×	101 0.7×	13	1.3k
Osamu Shiho	495 1.2×	401 1.0×	74 0.4×	44 0.2×	53 0.4×	29	1.3k
Robert A. Matthijsen	298 0.7×	430 1.1×	161 0.9×	56 0.3×	121 0.9×	23	1.2k
Gutta I. Schoefl	165 0.4×	511 1.3×	177 1.0×	57 0.3×	196 1.4×	14	1.4k
Rebecca Lever	174 0.4×	330 0.9×	183 1.0×	150 0.8×	157 1.1×	18	1.2k
Russell J. Collins	287 0.7×	662 1.7×	60 0.3×	80 0.5×	50 0.4×	29	1.3k
Zdenka Jonak	584 1.4×	547 1.4×	39 0.2×	60 0.3×	43 0.3×	37	1.5k
Rachel Oren	403 1.0×	447 1.2×	95 0.5×	85 0.5×	102 0.7×	21	1.1k

Countries citing papers authored by J P Paccaud

Since Specialization

Citations

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

Fields of papers citing papers by J P Paccaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J P Paccaud. 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 J P Paccaud. The network helps show where J P Paccaud may publish in the future.

Co-authorship network of co-authors of J P Paccaud

This figure shows the co-authorship network connecting the top 25 collaborators of J P Paccaud. A scholar is included among the top collaborators of J P Paccaud 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 J P Paccaud. J P Paccaud 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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