Stephen P. Halenda

1.6k citations
24 papers · 1.4k indexed · h-index 17
Topics
Protein Kinase Regulation and GTPase Signaling (10 papers)Sphingolipid Metabolism and Signaling (5 papers)Adenosine and Purinergic Signaling (4 papers)
Partner nations
United States

In The Last Decade

Stephen P. Halenda

24 papers receiving 1.3k citations

Peers

Stephen P. Halenda
Comparison fields: 5 of 83
  • Molecular Biology 831
  • Physiology 229
  • Hematology 166
  • Physiology 161
  • Cellular and Molecular Neuroscience 157
Replace Dominique Stengel with:
Dominique Stengel France
Malay K. Raychowdhury United States
W K Pollock United Kingdom
Peter Roevens Belgium
Richard S. Kent United States
J. N. Kanfer Canada
Kathleen C. Zawalich United States
Chen-Hsiung Yeh United States
T J Hallam Canada
Edda F. Roberts United States
Stephen P. Halenda relative to Dominique Stengel France Dominique Stengel's profile →
Citations per field
00.5×2.7×
Dominique Stengel · 1×
Citations per year

Countries citing papers authored by Stephen P. Halenda

Since Specialization
Citations

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

Fields of papers citing papers by Stephen P. Halenda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen P. Halenda

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen P. Halenda. A scholar is included among the top collaborators of Stephen P. Halenda 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 P. Halenda. Stephen P. Halenda 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 30
2 36
3 12
4 78
5 7
6 31
7 8
8 7
9 140
10 70
11 11
12 34
13 67
14 6
15 28
16 37
17 46
18 228
19 41
20 28

About Stephen P. Halenda

Stephen P. Halenda is a scholar working on Physiology, Hematology and Molecular Biology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), Sphingolipid Metabolism and Signaling (5 papers) and Adenosine and Purinergic Signaling (4 papers). The work is most often cited by research in Physiology (161 citations), Hematology (166 citations) and Molecular Biology (831 citations). Stephen P. Halenda has collaborated with scholars based in United States. Frequent co-authors include Maurice B. Feinstein, George B. Zavoico, Shivendra D. Shukla, F O'Rourke, R.I. Sha’afi, Peter A. Wilden, Ronald N. Rubin, Dan Bylund, Susan B. Jones and Yehenew M. Agazie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation 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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