Tracy Nelson

1.5k citations
24 papers · 1.1k indexed · h-index 15

Impact in

Papers in

    • Bone Metabolism and Diseases 3
    • Metabolism, Diabetes, and Cancer 2
    • Renal and related cancers 2
    • Adipose Tissue and Metabolism 2

Tracy Nelson

22 papers receiving 1.0k citations

Peers

Tracy Nelson
Comparison fields: 5 of 110
  • Orthopedics and Sports Medicine 144
  • Pharmacy 52
  • Physiology 233
  • Genetics 242
  • Genetics 85
Replace S. Shahrukh Hashmi with:
S. Shahrukh Hashmi United States
Liana Euller‐Ziegler France
Stefano Stagi Italy
Christian Kasperk Germany
Helen Woodhead Australia
Hugh J. McMillan Canada
L Gargantini Italy
Marsha L. Davenport United States
John Buckler United Kingdom
Amy D. DiVasta United States
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Citations per field
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S. Shahrukh Hashmi · 1×
Citations per year

Countries citing papers authored by Tracy Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009158
2 2014141
3 2017136
4 200493
5 199886
6 200670
7 200869
8 201267
9 201048
10 202044
11 202025
12 200423
13 201319
14 199117
15 201917
16 201314
17 20228
18
Concordance rates for smoking among African-American twins.
20077
19 20195
20 20242

About Tracy Nelson

Tracy Nelson is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Nephrology and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (3 papers), Bone Metabolism and Diseases (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Renal and related cancers (2 papers), Hematological disorders and diagnostics (2 papers), Adipose Tissue and Metabolism (2 papers), Renal Diseases and Glomerulopathies (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (144 citations), Pharmacy (52 citations), Physiology (233 citations), Genetics (242 citations) and Genetics (85 citations). Tracy Nelson has collaborated with scholars based in United States, Netherlands and Spain. Frequent co-authors include Mark C. Horowitz, Jackie A. Fretz, Clifford J. Rosen, Yougen Xi, Matthew S. Hickey, Lori R. Kogan, Ryan Berry, Matthew S. Rodeheffer, Nancy Troiano and Zachary L. Sebo. Their work appears in journals such as Bone, Journal of Cellular Biochemistry, Endocrinology, Journal of Bone and Mineral Research and American Journal of Health Promotion.

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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