Steven L. Parker

2.0k citations
73 papers · 1.7k indexed · h-index 24

Steven L. Parker

72 papers receiving 1.6k citations

Peers

Steven L. Parker
Comparison fields: 5 of 105
  • Cellular and Molecular Neuroscience 846
  • Molecular Biology 828
  • Endocrine and Autonomic Systems 569
  • Social Psychology 320
  • Reproductive Medicine 238
Replace J.P.H. Burbach with:
J.P.H. Burbach Netherlands
Ryoichi Teruyama United States
S. Pavel Netherlands
A. Argiolas Italy
Hirofumi Hashimoto Japan
Steven P. Kleopoulos United States
C. A. Wilson United Kingdom
Gayle A. Olson United States
W.B. Watkins New Zealand
Imre Farkas Hungary
Steven L. Parker relative to J.P.H. Burbach Netherlands J.P.H. Burbach's profile →
Citations per field
00.5×1.5×1.9×
J.P.H. Burbach · 1×
Citations per year

Countries citing papers authored by Steven L. Parker

Since Specialization
Citations

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

Fields of papers citing papers by Steven L. Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven L. Parker. 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 Steven L. Parker. The network helps show where Steven L. Parker may publish in the future.

Co-authorship network of co-authors of Steven L. Parker

This figure shows the co-authorship network connecting the top 25 collaborators of Steven L. Parker. A scholar is included among the top collaborators of Steven L. Parker 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 Steven L. Parker. Steven L. Parker 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 13
2 2
3
Neuropeptide Y : molecular structure, role in food intake and direct/indirect effects
3
4 5
5 5
6 5
7 8
8 8
9 10
10 24
11 12
12 13
13 65
14 3
15 18
16 10
17 20
18 29
19 17
20 26

About Steven L. Parker

Steven L. Parker is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Reproductive Medicine, having authored 73 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (44 papers), Receptor Mechanisms and Signaling (38 papers) and Hypothalamic control of reproductive hormones (14 papers). The work is most often cited by research in Endocrine and Autonomic Systems (569 citations), Cellular and Molecular Neuroscience (846 citations) and Behavioral Neuroscience (101 citations). Steven L. Parker has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include William R. Crowley, Michael S. Parker, Justin K. Kane, Burt M. Sharp, A. Balasubramaniam, Shannon G. Matta, S. P. Kalra, Renu Sah, Ingrid Lundell and Floyd R. Sallee. Their work appears in journals such as Brain Research, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

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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