M GRAY

672 citations
11 papers · 528 · h-index 9

Impact in

    • RNA and protein synthesis mechanisms
    • Mitochondrial Function and Pathology
    • DNA Repair Mechanisms
    • Genomics and Phylogenetic Studies
    • CRISPR and Genetic Engineering

Papers in

M GRAY

11 papers receiving 514 citations

Peers

M GRAY
Comparison fields: 5 of 73
  • Clinical Biochemistry 41
  • Molecular Biology 347
  • Genetics 134
  • Plant Science 162
  • Obstetrics and Gynecology 26
Replace Sulan Kuang with:
Sulan Kuang China
David T. Kirkpatrick United States
Biaobang Chen China
Horst-Dieter Reichenbach Germany
Richard W. Lusk United States
Laurie Holmes United States
Kenneth Escudero United States
Michael Seipp United States
David Schlessinger United States
Shay Covo Israel
M GRAY relative to Sulan Kuang China Sulan Kuang's profile →
Citations per field
00.5×6.8×
Sulan Kuang · 1×
Citations per year

Countries citing papers authored by M GRAY

Since Specialization
Citations

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

Fields of papers citing papers by M GRAY

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M GRAY, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M GRAY Line = papers co-authored together M GRAY links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2005149
2 1994119
3
PCR-based RAPD/DGGE markers linked to leaf rust resistance genes Lr29 and Lr25 in wheat (Triticum aestivum L.)
199554
4 199152
5 198840
6 198438
7 200326
8 196422
9 200518
10 19987
11 19983

About M GRAY

M GRAY is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Plant Science, Genetics and Urology, having authored 11 papers that have together received 528 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (2 papers), Wheat and Barley Genetics and Pathology (1 paper), Metabolism and Genetic Disorders (1 paper), Plant Pathogens and Fungal Diseases (1 paper), Animal Genetics and Reproduction (1 paper), Genomics and Phylogenetic Studies (1 paper), Insect symbiosis and bacterial influences (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Clinical Biochemistry (41 citations), Molecular Biology (347 citations), Genetics (134 citations), Plant Science (162 citations) and Obstetrics and Gynecology (26 citations). M GRAY has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Timothy E. Shutt, Arthur J. Hilliker, Andrew G. Reaume, George Harauz, Stephen H. Clark, Arthur Chovnick, Pei‐zhe Wu, K.V. Walsh, Alain Vincent and Welcome Bender. Their work appears in journals such as The EMBO Journal, Genetics, The Journal of Pediatrics, Vaccine and Trends in Genetics.

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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