Simon N. Robinson

2.9k citations
65 papers · 1.5k · h-index 22

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 2%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research

Papers in

    • Immunotherapy and Immune Responses 20
    • Immune Cell Function and Interaction 19
    • T-cell and B-cell Immunology 10
    • Immune Response and Inflammation 7
    • Hematopoietic Stem Cell Transplantation 30

Simon N. Robinson

65 papers receiving 1.4k citations

Peers

Simon N. Robinson
Comparison fields: 5 of 98
  • Hematology 523
  • Genetics 391
  • Immunology 528
  • Oncology 456
  • Cancer Research 116
Replace Li Gao with:
Li Gao China
Beatrice Del Papa Italy
Hanh Khuu United States
Amit Nathwani United Kingdom
Belén Blanco Spain
R Schirò Italy
Martin Rosendaal United Kingdom
Sebastian Stier Germany
Peiyan Kong China
J. McMannis United States
Simon N. Robinson relative to Li Gao China Li Gao's profile →
Citations per field
00.5×1.6×
Li Gao · 1×
Citations per year

Countries citing papers authored by Simon N. Robinson

Since Specialization
Citations

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

Fields of papers citing papers by Simon N. Robinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon N. Robinson. 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 Simon N. Robinson. The network helps show where Simon N. Robinson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020211
2 2006183
3 199858
4 201158
5 201257
6 200050
7 201149
8 201047
9 201345
10 201044
11 200142
12 201437
13 199736
14 200334
15 199734
16 202131
17 200029
18 200629
19 200523
20 200322

About Simon N. Robinson

Simon N. Robinson is a scholar working on Immunology, Hematology, Genetics, Oncology and Molecular Biology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (30 papers), Immunotherapy and Immune Responses (20 papers), Immune Cell Function and Interaction (19 papers), Mesenchymal stem cell research (11 papers), T-cell and B-cell Immunology (10 papers), CAR-T cell therapy research (7 papers), Immune Response and Inflammation (7 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Hematology (523 citations), Genetics (391 citations), Immunology (528 citations), Oncology (456 citations) and Cancer Research (116 citations). Simon N. Robinson has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Partow Kebriaei, Peter Mauch, Ronald van Os, Elizabeth J. Shpall, William K. Decker, James E. Talmadge, Marcos de Lima, E.J. Shpall, Hong Yang and Barbara Savoldo. Their work appears in journals such as Blood, Bone Marrow Transplantation, Cytotherapy, Stem Cells and Experimental Hematology.

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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