Mark Band

2.8k citations
49 papers · 1.7k · h-index 23

Impact in

  • Genetics top 5%
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals
    • Animal Genetics and Reproduction
  • Aging top 5%

Papers in

    • Mitochondrial Function and Pathology 8
    • Molecular Biology Techniques and Applications 4
    • Genetic and phenotypic traits in livestock 11
    • Genetic Mapping and Diversity in Plants and Animals 11
    • Animal Genetics and Reproduction 4

Mark Band

48 papers receiving 1.7k citations

Peers

Mark Band
Comparison fields: 5 of 110
  • Genetics 627
  • Aging 39
  • Developmental Biology 40
  • Cancer Research 222
  • Physiology 58
Replace Takao NAMIKAWA with:
Takao NAMIKAWA Japan
N. S. Huskisson United Kingdom
Isabelle Henry United States
Masataka G. Suzuki Japan
James N. Petitte United States
Axel Künstner Germany
Barry Moore United States
John H. Malone United States
Cédric Cabau France
Yuko Yoshinaga United States
Mark Band relative to Takao NAMIKAWA Japan Takao NAMIKAWA's profile →
Citations per field
00.5×5.8×
Takao NAMIKAWA · 1×
Citations per year

Countries citing papers authored by Mark Band

Since Specialization
Citations

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

Fields of papers citing papers by Mark Band

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Band, 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 Mark Band Line = papers co-authored together Mark Band links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999184
2 2010169
3 2009111
4 201394
5 201494
6 199692
7 200980
8 200977
9 201264
10 201254
11 201152
12 199850
13 200750
14 201949
15 200543
16 201138
17 201736
18 199433
19 201129
20 201226

About Mark Band

Mark Band is a scholar working on Molecular Biology, Genetics, Cancer Research, Plant Science and Paleontology, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (11 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Mitochondrial Function and Pathology (8 papers), Evolution and Paleontology Studies (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Physiological and biochemical adaptations (4 papers), Animal Genetics and Reproduction (4 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Genetics (627 citations), Aging (39 citations), Developmental Biology (40 citations), Cancer Research (222 citations) and Physiology (58 citations). Mark Band has collaborated with scholars based in United States, Israel and Bulgaria. Frequent co-authors include M. Ron, Aaron Avivi, J.I. Weller, Jenny Drnevich, Assaf Malik, Harris A. Lewin, Alma Joel, E. Feldmesser, Yuting Sun and Jie Chen. Their work appears in journals such as Animal Genetics, BMC Genomics, PLoS ONE, Genomics and The FASEB 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