Isabel Boivin

1.3k total citations
20 papers, 536 citations indexed

About

Isabel Boivin is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Isabel Boivin has authored 20 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 9 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Isabel Boivin's work include Acute Myeloid Leukemia Research (14 papers), Protein Degradation and Inhibitors (5 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). Isabel Boivin is often cited by papers focused on Acute Myeloid Leukemia Research (14 papers), Protein Degradation and Inhibitors (5 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). Isabel Boivin collaborates with scholars based in Canada, Germany and United States. Isabel Boivin's co-authors include Guy Sauvageau, Josée Hébert, Vincent‐Philippe Lavallée, Sébastien Lemieux, Geneviève Boucher, Bernhard Lehnertz, Nadine Mayotte, Jana Krošl, Anne Marinier and Jalila Chagraoui and has published in prestigious journals such as Blood, Science Advances and Journal of Hepatology.

In The Last Decade

Isabel Boivin

19 papers receiving 530 citations

Peers

Isabel Boivin
Comparison fields: 5 of 57
  • Molecular Biology 302
  • Hematology 268
  • Genetics 94
  • Epidemiology 69
  • Oncology 68
Replace Sherly Mosessian with:
Sherly Mosessian United States
Elena Alfani Italy
Thea Kristin Våtsveen Norway
Shaun Rosebeck United States
Yu‐Jun Dai China
Katherine E. Lindblad United States
Luca Trentin Italy
Tao Ouyang China
Geraldine Ferron‐Brady United States
Gregory K. Reid Canada
Sherly Mosessian United States View profile →
Citations per field, relative to Isabel Boivin
Isabel Boivin · 1×
Citations per year, relative to Isabel Boivin
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Countries citing papers authored by Isabel Boivin

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Boivin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Boivin

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Boivin. A scholar is included among the top collaborators of Isabel Boivin 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 Isabel Boivin. Isabel Boivin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 18
3 4
4 1
5 9
6 42
7 51
8 20
9 65
10 1
11 23
12 8
13 52
14 115
15 49
16 2
17 2
18 52
19 11
20 11

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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