Nancy H. Ing

2.8k citations
67 papers · 2.3k · h-index 28

Impact in

Papers in

    • Estrogen and related hormone effects 22
    • Insect and Arachnid Ecology and Behavior 5
    • RNA Research and Splicing 5

Nancy H. Ing

67 papers receiving 2.3k citations

Peers

Nancy H. Ing
Comparison fields: 5 of 105
  • Agronomy and Crop Science 507
  • Reproductive Medicine 363
  • Genetics 941
  • Immunology 637
  • Equine 34
Replace S. Sasamoto with:
S. Sasamoto Japan
Toshio Inaba Japan
Monika M. Kaczmarek Poland
P. J. Barker United Kingdom
David W. Silversides Canada
James D. Godkin United States
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Citations per field
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Citations per year

Countries citing papers authored by Nancy H. Ing

Since Specialization
Citations

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

Fields of papers citing papers by Nancy H. Ing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy H. Ing. 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 Nancy H. Ing. The network helps show where Nancy H. Ing may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992305
2 1997143
3 2005132
4 1995111
5
The COUP-TFs compose a family of functionally related transcription factors.
199197
6 201288
7 199685
8 200083
9 199382
10 200575
11 198965
12 201363
13 199955
14 200949
15 198948
16 200047
17 199845
18 202043
19 199837
20 200137

About Nancy H. Ing

Nancy H. Ing is a scholar working on Genetics, Molecular Biology, Immunology, Agronomy and Crop Science and Reproductive Medicine, having authored 67 papers that have together received 2.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (22 papers), Reproductive System and Pregnancy (20 papers), Reproductive Physiology in Livestock (19 papers), Sperm and Testicular Function (11 papers), Reproductive Biology and Fertility (9 papers), Insect and Arachnid Ecology and Behavior (5 papers), Insect and Pesticide Research (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Agronomy and Crop Science (507 citations), Reproductive Medicine (363 citations), Genetics (941 citations), Immunology (637 citations) and Equine (34 citations). Nancy H. Ing has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include Ming‐Jer Tsai, Sophia Y. Tsai, Bert W. O’Malley, Johanna M. Beekman, Thomas E. Spencer, Troy Ott, Laurie A. Jaeger, Fuller W. Bazer, R. Michael Roberts and Yuhua Z. Farnell. Their work appears in journals such as Biology of Reproduction, The Journal of Steroid Biochemistry and Molecular Biology, Theriogenology, Journal of Biological Chemistry and Animal Reproduction Science.

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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