J.J. BITGOOD

1.2k citations
39 papers · 853 · h-index 14

Impact in

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 11
    • Animal Genetics and Reproduction 5
    • Genetic and phenotypic traits in livestock 5
    • Chromosomal and Genetic Variations 13

J.J. BITGOOD

37 papers receiving 795 citations

Peers

J.J. BITGOOD
Comparison fields: 5 of 72
  • Developmental Biology 72
  • Animal Science and Zoology 165
  • Genetics 320
  • Plant Science 246
  • Molecular Biology 362
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Dawn Windsor United Kingdom
David Morrice United Kingdom
Claytus Davis Israel
RALPH G. SOMES United States
Xuemei Deng China
Xiujin Li China
Zhongxian Xu China
Weiwei Fu China
Osamu Nakabayashi Japan
А. А. Сазанов Russia
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Citations per field
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Citations per year

Countries citing papers authored by J.J. BITGOOD

Since Specialization
Citations

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

Fields of papers citing papers by J.J. BITGOOD

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999112
2 2003108
3 2003100
4 199591
5 198153
6 200247
7 199943
8 198039
9 198031
10 199225
11 199022
12 198818
13 198515
14 199714
15 198512
16 199111
17 199611
18 198511
19 198210
20 19829

About J.J. BITGOOD

J.J. BITGOOD is a scholar working on Genetics, Plant Science, Animal Science and Zoology, Molecular Biology and Cell Biology, having authored 39 papers that have together received 853 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (14 papers), Chromosomal and Genetic Variations (13 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), melanin and skin pigmentation (6 papers), Livestock and Poultry Management (6 papers), Animal Genetics and Reproduction (5 papers), Genetic and phenotypic traits in livestock (5 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Developmental Biology (72 citations), Animal Science and Zoology (165 citations), Genetics (320 citations), Plant Science (246 citations) and Molecular Biology (362 citations). J.J. BITGOOD has collaborated with scholars based in United States, Canada and China. Frequent co-authors include F. Abel Ponce de Léon, Michèle Tixier‐Boichard, Robert N. Shoffner, Rong Wei, John F. Fallon, Nicholas Caruccio, Nat Bumstead, L. B. Crittenden, David W. Burt and Michael R. Hayden. Their work appears in journals such as Poultry Science, Animal Genetics, Journal of Lipid Research, Journal of Heredity and Development.

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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