Vadim Jucaud

102 total papers · 2.1k total citations
54 papers, 1.2k citations indexed

About

Vadim Jucaud is a scholar working on Immunology, Biomedical Engineering and Transplantation. According to data from OpenAlex, Vadim Jucaud has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 16 papers in Biomedical Engineering and 10 papers in Transplantation. Recurrent topics in Vadim Jucaud's work include T-cell and B-cell Immunology (12 papers), Renal Transplantation Outcomes and Treatments (10 papers) and Immune Cell Function and Interaction (6 papers). Vadim Jucaud is often cited by papers focused on T-cell and B-cell Immunology (12 papers), Renal Transplantation Outcomes and Treatments (10 papers) and Immune Cell Function and Interaction (6 papers). Vadim Jucaud collaborates with scholars based in United States, Canada and Türkiye. Vadim Jucaud's co-authors include Ali Khademhosseini, Mepur H. Ravindranath, Mehmet R. Dokmeci, Satoru Kawakita, Paul I. Terasaki, Yangzhi Zhu, Kalpana Mandal, Reihaneh Haghniaz, Samad Ahadian and Han‐Jun Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and ACS Nano.

In The Last Decade

Vadim Jucaud

48 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
Vadim Jucaud	470	220	153	149	142	54	1.2k
Rupali S. Avasare	260 0.6×	184 0.8×	60 0.4×	187 1.3×	129 0.9×	29	922
Farideh Ordikhani	365 0.8×	214 1.0×	68 0.4×	177 1.2×	73 0.5×	24	957
Abhinav P. Acharya	315 0.7×	370 1.7×	33 0.2×	325 2.2×	30 0.2×	56	1.4k
G Martín	255 0.5×	339 1.5×	67 0.4×	83 0.6×	394 2.8×	20	1.2k
Gregory T. Tietjen	334 0.7×	164 0.7×	111 0.7×	637 4.3×	14 0.1×	35	1.3k
Jaan Hong	436 0.9×	219 1.0×	13 0.1×	158 1.1×	51 0.4×	37	1.5k
Seong‐Jun Choi	287 0.6×	85 0.4×	27 0.2×	346 2.3×	22 0.2×	47	1.1k
Michael Thie	460 1.0×	423 1.9×	7 0.0×	288 1.9×	67 0.5×	35	1.4k
Nobuyuki Nakamura	190 0.4×	38 0.2×	16 0.1×	254 1.7×	217 1.5×	68	995
Corrine Ying Xuan Chua	352 0.7×	179 0.8×	11 0.1×	328 2.2×	43 0.3×	53	1.2k

Countries citing papers authored by Vadim Jucaud

Since Specialization

Citations

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

Fields of papers citing papers by Vadim Jucaud

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim Jucaud

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