Nicolas Stocker

521 citations
40 papers · 383 · h-index 9

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
    • SARS-CoV-2 and COVID-19 Research

Papers in

    • Multiple Myeloma Research and Treatments 6
    • Hematopoietic Stem Cell Transplantation 6
    • Lymphoma Diagnosis and Treatment 4
    • Systemic Sclerosis and Related Diseases 2

Nicolas Stocker

27 papers receiving 375 citations

Peers

Nicolas Stocker
Comparison fields: 5 of 27
  • Hematology 74
  • Infectious Diseases 91
  • Pathology and Forensic Medicine 54
  • Immunology 26
  • Oncology 30
Replace Takayuki Tabayashi with:
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Citations per field
00.5×2×4×6×8.7×
Takayuki Tabayashi · 1×
Citations per year

Countries citing papers authored by Nicolas Stocker

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Stocker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nicolas Stocker, 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 Nicolas Stocker Line = papers co-authored together Nicolas Stocker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021104
2 201984
3 202426
4 201924
5 202017
6 201916
7 202016
8 202014
9 202110
10 20229
11 20229
12 20188
13 20246
14 20195
15 20224
16 20234
17 20244
18 20213
19 20243
20 20102

About Nicolas Stocker

Nicolas Stocker is a scholar working on Hematology, Pathology and Forensic Medicine, Genetics, Infectious Diseases and Oncology, having authored 40 papers that have together received 383 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Lymphoma Diagnosis and Treatment (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Gut microbiota and health (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Antifungal resistance and susceptibility (1 paper). The work is most often cited by research in Hematology (74 citations), Infectious Diseases (91 citations), Pathology and Forensic Medicine (54 citations), Immunology (26 citations) and Oncology (30 citations). Nicolas Stocker has collaborated with scholars based in France, China and Lebanon. Frequent co-authors include Mohamad Mohty, Florent Malard, Laure Ricard, Béatrice Gaugler, Yishan Ye, Arsène MEKINIAN, Rémy Duléry, Éolia Brissot, Patricia Senet and O. Fain. Their work appears in journals such as Bone Marrow Transplantation, British Journal of Haematology, Supportive Care in Cancer, Annals of the Rheumatic Diseases and Blood Cancer Journal.

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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