MJ Robertson

1.7k citations
16 papers · 1.4k indexed · 1 hit paper · h-index 9
Topics
Hematopoietic Stem Cell Transplantation (7 papers)Immune Cell Function and Interaction (5 papers)T-cell and B-cell Immunology (4 papers)
Journals
BloodBone Marrow TransplantationAustralian Journal of Agricultural Research
Partner nations
United States

In The Last Decade

MJ Robertson

16 papers receiving 1.3k citations

Hit Papers

Biology and clinical relevance of human natural killer cells19902026200220141990250500750

Peers

MJ Robertson
Comparison fields: 5 of 90
  • Immunology 858
  • Oncology 383
  • Hematology 374
  • Pathology and Forensic Medicine 228
  • Molecular Biology 155
Replace N Talal with:
N Talal United States
S C Clark United States
Brian C. Corliss United States
J R Keller United States
Susan J. Faas United States
C Pénit France
J Witek-Giannotti United States
Aaron R. Ellison United States
Hideki Tsujimura Japan
Tina Haliotis Canada
MJ Robertson relative to N Talal United States N Talal's profile →
Citations per field
00.5×3.7×
N Talal · 1×
Citations per year

Countries citing papers authored by MJ Robertson

Since Specialization
Citations

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

Fields of papers citing papers by MJ Robertson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of MJ Robertson

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1
Injection-locked Integrated Twin DBR Lasers for mm-wave Generation
6
2
Efficient use of water resources in sugar production: a physiological basis for crop response to water supply
3
3 35
4
CLEO/Europe-EQEC'98, Glasgow
1
5 174
6 10
7 51
8 4
9 64
10 82
11 3
12 6
13 3
14 73
15 61
16
Biology and clinical relevance of human natural killer cellsbreakdown →
782

About MJ Robertson

MJ Robertson is a scholar working on Hematology, Immunology and Oncology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (7 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (858 citations), Hematology (374 citations) and Oncology (383 citations). MJ Robertson has collaborated with scholars based in United States. Frequent co-authors include Jerome Ritz, RJ Soiffer, AS Freedman, Christine Murray, Francesco Giunta, LM Nadler, KC Anderson, Donna Neuberg, Lini Pandite and Max Kroon. Their work appears in journals such as Blood, Bone Marrow Transplantation and Australian Journal of Agricultural Research.

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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