M J Hayman

760 citations
13 papers · 652 indexed · h-index 11
Topics
Virus-based gene therapy research (5 papers)Animal Genetics and Reproduction (3 papers)Animal Virus Infections Studies (3 papers)

In The Last Decade

M J Hayman

13 papers receiving 630 citations

Peers

M J Hayman
Comparison fields: 5 of 69
  • Molecular Biology 497
  • Cell Biology 183
  • Genetics 140
  • Oncology 118
  • Immunology 85
Replace Erwin F. Wagner with:
Erwin F. Wagner Austria
Marie-Claude Labastie France
Hélia Neves Portugal
N Hole United Kingdom
L Severinsson Sweden
Dawn M. Bryce Canada
K. Yoshinaga Japan
Wei‐Qin Jiang Sweden
Karen E. Brown United States
JE Visvader Australia
M J Hayman relative to Erwin F. Wagner Austria Erwin F. Wagner's profile →
Citations per field
00.5×2.7×
Erwin F. Wagner · 1×
Citations per year

Countries citing papers authored by M J Hayman

Since Specialization
Citations

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

Fields of papers citing papers by M J Hayman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M J Hayman. 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 J Hayman. The network helps show where M J Hayman may publish in the future.

Co-authorship network of co-authors of M J Hayman

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 14
2
Transformation of erythroid progenitors by viral and cellular tyrosine kinases.
6
3 81
4
Transformation of chicken bone marrow cells by the v-ski oncogene.
16
5
Avian erythroblastosis: a model system to study oncogene co-operation in leukemia.
10
6 11
7 365
8 34
9
Cell transformation by the epidermal growth factor receptor and v-erbB.
32
10 5
11
A human sequence homologous to v-sea maps to chromosome 11, band q13.
19
12 37
13 22

About M J Hayman

M J Hayman is a scholar working on Animal Science and Zoology, Genetics and Molecular Biology, having authored 13 papers that have together received 652 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Animal Genetics and Reproduction (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Cell Biology (183 citations), Molecular Biology (497 citations) and Hematology (62 citations). M J Hayman has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include L T Williams, Kathleen S. Keegan, Daniel E. Johnson, Peter Steinlein, Hartmut Beug, Susanne Meyer, Yah-Huei Chou, Frank Martin, Paula J. Enrietto and Thomas Graf. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The EMBO Journal.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026