Michael G. Constantinides

4.9k citations
38 papers · 3.4k indexed · 2 hit papers · h-index 25
Topics
Immune Cell Function and Interaction (26 papers)T-cell and B-cell Immunology (16 papers)IL-33, ST2, and ILC Pathways (10 papers)
Partner nations
United StatesFranceChina

In The Last Decade

Michael G. Constantinides

37 papers receiving 3.3k citations

Hit Papers

A committed precursor to innate lymphoid cells200820262014202020142008200400600

Peers

Michael G. Constantinides
Comparison fields: 5 of 129
  • Immunology 2.5k
  • Surgery 625
  • Molecular Biology 501
  • Oncology 451
  • Soil Science 255
Replace Anurag Saxena with:
Anurag Saxena Canada
W. van den Berg Netherlands
Baoping Wang China
Zhaoxia Li China
Pengfei Ma China
Laura G. Rico Spain
Kim M. O’Sullivan Australia
Isabelle Auger France
Lan Wu China
Meirong Li China
Michael G. Constantinides relative to Anurag Saxena Canada Anurag Saxena's profile →
Citations per field
00.5×6.1×
Anurag Saxena · 1×
Citations per year

Countries citing papers authored by Michael G. Constantinides

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Constantinides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Constantinides. 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 Michael G. Constantinides. The network helps show where Michael G. Constantinides may publish in the future.

Co-authorship network of co-authors of Michael G. Constantinides

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Constantinides. A scholar is included among the top collaborators of Michael G. Constantinides 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 Michael G. Constantinides. Michael G. Constantinides 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 0
2 2
3 4
4 24
5 7
6 120
7 7
8 58
9 154
10 4
11 199
12 132
13 27
14
A committed precursor to innate lymphoid cellsbreakdown →
623
15 188
16 81
17 85
18
The Transcription Factor PLZF Directs the Effector Program of the NKT Cell Lineagebreakdown →
563
19 7
20 8

About Michael G. Constantinides

Michael G. Constantinides is a scholar working on Immunology, Forestry and Hematology, having authored 38 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (16 papers) and IL-33, ST2, and ILC Pathways (10 papers). The work is most often cited by research in Immunology (2.5k citations), Soil Science (255 citations) and Dermatology (151 citations). Michael G. Constantinides has collaborated with scholars based in United States, France and China. Frequent co-authors include Albert Bendelac, Benjamin D. McDonald, Philip A. Verhoef, James H. Fownes, Adam K. Savage, Damien Picard, Jin Han, Olivier Lantz, Emmanuel Martin and Bofeng Li. Their work appears in journals such as Nature, Science and Cell.

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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