Matthew A. Inlay

5.0k citations
37 papers · 3.6k indexed · 2 hit papers · h-index 26
Topics
Immune Cell Function and Interaction (13 papers)T-cell and B-cell Immunology (12 papers)Hematopoietic Stem Cell Transplantation (9 papers)

In The Last Decade

Matthew A. Inlay

36 papers receiving 3.6k citations

Hit Papers

Anti-CD47 antibody–mediated phagocytosis of cancer by mac...201020262015202020132010100200300400500

Peers

Matthew A. Inlay
Comparison fields: 5 of 126
  • Molecular Biology 1.8k
  • Immunology 1.6k
  • Hematology 504
  • Oncology 501
  • Physiology 457
Replace Benson M. George with:
Benson M. George United States
Hiroshi Ohnishi Japan
Haishan Lin China
Fernando Dangond United States
Ottavio Cremona Italy
Kristoffer Riecken Germany
Ben W. Dulken United States
Joshua D. Stender United States
Persio Dello Sbarba Italy
R. Maki United States
Matthew A. Inlay relative to Benson M. George United States Benson M. George's profile →
Citations per field
00.5×10×20×30×35.3×
Benson M. George · 1×
Citations per year

Countries citing papers authored by Matthew A. Inlay

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Inlay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew A. Inlay. 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 Matthew A. Inlay. The network helps show where Matthew A. Inlay may publish in the future.

Co-authorship network of co-authors of Matthew A. Inlay

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Inlay. A scholar is included among the top collaborators of Matthew A. Inlay 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 Matthew A. Inlay. Matthew A. Inlay 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
#WorkIndexed citations
1 4
2 1
3 31
4 74
5 135
6 38
7 2
8 53
9 24
10 31
11 326
12 47
13 14
14 35
15 184
16
Comprehensive methylome map of lineage commitment from haematopoietic progenitorsbreakdown →
467
17 222
18 67
19 13
20 89

About Matthew A. Inlay

Matthew A. Inlay is a scholar working on Immunology, Hematology and Neurology, having authored 37 papers that have together received 3.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers) and Hematopoietic Stem Cell Transplantation (9 papers). The work is most often cited by research in Immunology (1.6k citations), Biological Psychiatry (123 citations) and Hematology (504 citations). Matthew A. Inlay has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Irving L. Weissman, Jun Seita, Thomas Serwold, Derrick J. Rossi, Holger Karsunky, John W. Fathman, Deepta Bhattacharya, Debashis Sahoo, Isabel Beerman and Yang Xu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

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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