Nelly Robillard

6.3k citations
120 papers · 5.2k · h-index 38

Impact in

Papers in

    • Multiple Myeloma Research and Treatments 44
    • Acute Myeloid Leukemia Research 9
    • Chronic Lymphocytic Leukemia Research 25

Nelly Robillard

118 papers receiving 5.0k citations

Peers

Nelly Robillard
Comparison fields: 5 of 122
  • Hematology 2.6k
  • Transplantation 283
  • Genetics 779
  • Oncology 1.5k
  • Immunology 1.1k
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Mark H. Kirschbaum United States
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Ralph Wäsch Germany
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Citations per field
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Citations per year

Countries citing papers authored by Nelly Robillard

Since Specialization
Citations

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

Fields of papers citing papers by Nelly Robillard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nelly Robillard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nelly Robillard Line = papers co-authored together Nelly Robillard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018349
2 2005294
3 1990239
4 2014233
5 2006229
6 2007212
7 1994186
8
The phenotype of normal, reactive and malignant plasma cells. Identification of "many and multiple myelomas" and of new targets for myeloma therapy.
2006186
9 1999174
10 1998152
11 2003150
12 1999137
13 1999120
14 2004108
15 2002106
16 2004101
17
CD28, a marker associated with tumoral expansion in multiple myeloma.
199885
18 201273
19 201466
20 200265

About Nelly Robillard

Nelly Robillard is a scholar working on Hematology, Genetics, Immunology, Pathology and Forensic Medicine and Oncology, having authored 120 papers that have together received 5.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (44 papers), Chronic Lymphocytic Leukemia Research (25 papers), Lymphoma Diagnosis and Treatment (21 papers), Acute Lymphoblastic Leukemia research (18 papers), Glycosylation and Glycoproteins Research (17 papers), Immune Cell Function and Interaction (12 papers), Peptidase Inhibition and Analysis (9 papers) and Acute Myeloid Leukemia Research (9 papers). The work is most often cited by research in Hematology (2.6k citations), Transplantation (283 citations), Genetics (779 citations), Oncology (1.5k citations) and Immunology (1.1k citations). Nelly Robillard has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Régis Bataille, Martine Amiot, Catherine Pellat‐Deceunynck, Philippe Moreau, Hervé Avet‐Loiseau, Jean‐Luc Harousseau, Richard Garand, Gaëtan Jégo, Danielle Pineau and Soraya Wuillème‐Toumi. Their work appears in journals such as Blood, Leukemia, British Journal of Haematology, Leukemia Research and Haematologica.

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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