Steven P. Piccoli

1.6k citations
29 papers · 1.0k indexed · 1 hit paper · h-index 12
Topics
Advanced Biosensing Techniques and Applications (8 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)Biosimilars and Bioanalytical Methods (7 papers)

In The Last Decade

Steven P. Piccoli

26 papers receiving 937 citations

Hit Papers

Novel myc oncogene RNA from abortive immunoglobulin-gene ...19822026199620111982100200300400

Peers

Steven P. Piccoli
Comparison fields: 5 of 92
  • Molecular Biology 600
  • Immunology 191
  • Oncology 158
  • Radiology, Nuclear Medicine and Imaging 153
  • Endocrinology, Diabetes and Metabolism 150
Replace Manoj Kumar Kashyap with:
Manoj Kumar Kashyap United States
William C. Powell United States
Punit Saraon Canada
Hedy Adari United States
R W Barton United States
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Steven P. Piccoli relative to Manoj Kumar Kashyap United States Manoj Kumar Kashyap's profile →
Citations per field
00.5×3.1×
Manoj Kumar Kashyap · 1×
Citations per year

Countries citing papers authored by Steven P. Piccoli

Since Specialization
Citations

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

Fields of papers citing papers by Steven P. Piccoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven P. Piccoli

This figure shows the co-authorship network connecting the top 25 collaborators of Steven P. Piccoli. A scholar is included among the top collaborators of Steven P. Piccoli 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 P. Piccoli. Steven P. Piccoli 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 4
2 0
3 0
4 17
5 9
6 10
7 5
8 9
9 28
10 6
11 6
12 16
13 7
14 94
15 48
16 6
17 9
18 28
19 6
20 149

About Steven P. Piccoli

Steven P. Piccoli is a scholar working on Structural Biology, Immunology and Hematology, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Biosimilars and Bioanalytical Methods (7 papers). The work is most often cited by research in Hematology (119 citations), Immunology (191 citations) and Endocrinology, Diabetes and Metabolism (150 citations). Steven P. Piccoli has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Michael D. Cole, Elizabeth J. Keath, G L Shen-Ong, Lowell H. Ericsson, F. Descalzi Cancedda, Milton J. Schlesinger, Kenneth A. Walsh, Ralph Bradshaw, Peter A. Neumann and Perry G. Caimi. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of 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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