M. Joycelyn Elders

799 citations
40 papers · 618 indexed · h-index 15
Topics
Growth Hormone and Insulin-like Growth Factors (7 papers)Muscle metabolism and nutrition (3 papers)Glycosylation and Glycoproteins Research (2 papers)
Partner nations
United StatesIreland

In The Last Decade

M. Joycelyn Elders

36 papers receiving 551 citations

Peers

M. Joycelyn Elders
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 204
  • Molecular Biology 163
  • Pediatrics, Perinatology and Child Health 88
  • Genetics 75
  • Cell Biology 69
Replace S Collyer with:
S Collyer United Kingdom
Elpis Vlachopapadopoulou Greece
Hans‐Georg Zmierczak Belgium
C. Foster United States
Chu Shan Elaine Chew United States
Justin T. Wahlstrom United States
M J Elders United States
M. Suzuki Japan
Isobel Braidman United Kingdom
L Zichella Italy
M. Joycelyn Elders relative to S Collyer United Kingdom S Collyer's profile →
Citations per field
00.5×3.5×
S Collyer · 1×
Citations per year

Countries citing papers authored by M. Joycelyn Elders

Since Specialization
Citations

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

Fields of papers citing papers by M. Joycelyn Elders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Joycelyn Elders

This figure shows the co-authorship network connecting the top 25 collaborators of M. Joycelyn Elders. A scholar is included among the top collaborators of M. Joycelyn Elders based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M. Joycelyn Elders. M. Joycelyn Elders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 16
4 2
5 2
6 4
7 25
8 13
9
Joycelyn Elders, M.D.: From Sharecropper's Daughter to Surgeon General of the United States of America
8
10 3
11 9
12
School-Based Clinics to the Rescue.
2
13 0
14 2
15 9
16 2
17 48
18 2
19 33
20 80

About M. Joycelyn Elders

M. Joycelyn Elders is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology and Pharmacy, having authored 40 papers that have together received 618 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Muscle metabolism and nutrition (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (204 citations), Pediatrics, Perinatology and Child Health (88 citations) and Cell Biology (69 citations). M. Joycelyn Elders has collaborated with scholars based in United States and Ireland. Frequent co-authors include Stephen F. Kemp, H Schedewie, Edwin R. Hughes, R.D. Reeves, Simeon I. Taylor, David L. Vesely, Robert H. Fiser, Jason Lee, D. H. Berry and W. Perry Dickinson. Their work appears in journals such as The Lancet, JAMA and The Journal of Clinical Endocrinology & Metabolism.

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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