M. T. Vu Hai

922 citations
16 papers · 780 indexed · h-index 13
Topics
Estrogen and related hormone effects (5 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)Steroid Chemistry and Biochemistry (3 papers)
Partner nations
FranceChina

In The Last Decade

M. T. Vu Hai

16 papers receiving 729 citations

Peers

M. T. Vu Hai
Comparison fields: 5 of 71
  • Genetics 422
  • Molecular Biology 269
  • Reproductive Medicine 215
  • Immunology 209
  • Agronomy and Crop Science 107
Replace Susan A. Leonhardt with:
Susan A. Leonhardt United States
H. Loosfelt France
M.F. El Etreby Germany
Todd A. Farmerie United States
Gwen E. Dressing United States
Luc d’Auriol France
Deborah A. DeManno United States
Maryanne C. McClellan United States
William W. Chin United States
Thomas G. Beito United States
M. T. Vu Hai relative to Susan A. Leonhardt United States Susan A. Leonhardt's profile →
Citations per field
00.5×1.5×2.2×
Susan A. Leonhardt · 1×
Citations per year

Countries citing papers authored by M. T. Vu Hai

Since Specialization
Citations

This map shows the geographic impact of M. T. Vu Hai'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 M. T. Vu Hai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. T. Vu Hai more than expected).

Fields of papers citing papers by M. T. Vu Hai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. T. Vu Hai. 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 M. T. Vu Hai. The network helps show where M. T. Vu Hai may publish in the future.

Co-authorship network of co-authors of M. T. Vu Hai

This figure shows the co-authorship network connecting the top 25 collaborators of M. T. Vu Hai. A scholar is included among the top collaborators of M. T. Vu Hai 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 M. T. Vu Hai. M. T. Vu Hai 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 2
2 5
3 35
4 25
5
[LH receptors. A new family of G-protein receptors].
2
6 86
7 33
8
Immunocytochemical staining of progesterone receptor in paraffin sections of human breast cancers.
22
9 22
10 114
11 63
12 117
13 67
14 59
15 18
16 110

About M. T. Vu Hai

M. T. Vu Hai is a scholar working on Immunology and Allergy, Geriatrics and Gerontology and Reproductive Medicine, having authored 16 papers that have together received 780 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Steroid Chemistry and Biochemistry (3 papers). The work is most often cited by research in Reproductive Medicine (215 citations), Genetics (422 citations) and Agronomy and Crop Science (107 citations). M. T. Vu Hai has collaborated with scholars based in France and China. Frequent co-authors include Edwin Milgröm, F. Logeat, H. Loosfelt, Maryvonne Warembourg, Alain Fournier, G. Buttin, Pierre Legrain, Nicolae Ghinea, Marie‐Thérèse Groyer‐Picard and Anne Houllier. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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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