Stephen W. Ponder

1.2k citations
23 papers · 642 indexed · h-index 12
Topics
Pharmacological Receptor Mechanisms and Effects (5 papers)Receptor Mechanisms and Signaling (4 papers)Diabetes Management and Research (3 papers)
Partner nations
United States

In The Last Decade

Stephen W. Ponder

22 papers receiving 618 citations

Peers

Stephen W. Ponder
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 239
  • Orthopedics and Sports Medicine 185
  • Physiology 144
  • Molecular Biology 141
  • Genetics 92
Replace Molly B. Southworth with:
Molly B. Southworth United States
S.-L. Karonen Finland
IVANNA V. TATARYN United States
M Castanier France
W. A. Ratcliffe United Kingdom
Stella R. Milsom New Zealand
Barry Z. Izenstein United States
A. Dessypris Finland
A Tommaselli Italy
Stuart Best United States
Stephen W. Ponder relative to Molly B. Southworth United States Molly B. Southworth's profile →
Citations per field
00.5×
Molly B. Southworth · 1×
Citations per year

Countries citing papers authored by Stephen W. Ponder

Since Specialization
Citations

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

Fields of papers citing papers by Stephen W. Ponder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen W. Ponder. 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 Stephen W. Ponder. The network helps show where Stephen W. Ponder may publish in the future.

Co-authorship network of co-authors of Stephen W. Ponder

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen W. Ponder. A scholar is included among the top collaborators of Stephen W. Ponder 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 Stephen W. Ponder. Stephen W. Ponder 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 3
2 1
3 1
4 1
5 0
6 17
7 21
8 1
9 3
10 57
11 159
12 47
13 127
14 63
15 5
16
An inexpensive, automated method to perform the polymerase chain reaction
1
17 12
18 9
19 11
20 40

About Stephen W. Ponder

Stephen W. Ponder is a scholar working on Pharmacy, Endocrinology, Diabetes and Metabolism and Orthopedics and Sports Medicine, having authored 23 papers that have together received 642 indexed citations. Recurring topics across this work include Pharmacological Receptor Mechanisms and Effects (5 papers), Receptor Mechanisms and Signaling (4 papers) and Diabetes Management and Research (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (185 citations), Endocrinology, Diabetes and Metabolism (239 citations) and Reproductive Medicine (71 citations). Stephen W. Ponder has collaborated with scholars based in United States. Frequent co-authors include W. G. Clark, Bruce S. Keenan, John S. Dallas, David P. McCormick, Heather Fawcett, J. Lynn Palmer, Gail E. Richards, Manubai Nagamani, Edward R. Smith and Ben H. Brouhard. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Journal of Bone and Mineral Research.

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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