Richard Siegel

1.8k citations
19 papers · 356 indexed · h-index 10
Topics
Monoclonal and Polyclonal Antibodies Research (5 papers)Glycosylation and Glycoproteins Research (3 papers)Hemoglobin structure and function (3 papers)
Partner nations
United States

In The Last Decade

Richard Siegel

16 papers receiving 325 citations

Peers

Richard Siegel
Comparison fields: 5 of 80
  • Immunology 133
  • Molecular Biology 96
  • Radiology, Nuclear Medicine and Imaging 82
  • Hematology 59
  • Surgery 55
Replace Michal Beránek with:
Michal Beránek Czechia
Takanori Kusuyama Japan
F-J Tsai Taiwan
Masako Okawa‐Takatsuji Japan
Qiang-Hua Meng Canada
S Miyamoto Japan
Kyoko Wakamatsu Japan
E Polli Italy
Alexia Buzzonetti Italy
Kiyoaki Inoue Japan
Richard Siegel relative to Michal Beránek Czechia Michal Beránek's profile →
Citations per field
00.5×3.3×
Michal Beránek · 1×
Citations per year

Countries citing papers authored by Richard Siegel

Since Specialization
Citations

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

Fields of papers citing papers by Richard Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard Siegel. 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 Richard Siegel. The network helps show where Richard Siegel may publish in the future.

Co-authorship network of co-authors of Richard Siegel

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Siegel. A scholar is included among the top collaborators of Richard Siegel 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 Richard Siegel. Richard Siegel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4 48
5 4
6 48
7
Evaluation of four new Tina-quant® a assays for determination of α-1-acid glycoprotein, α-1-antitrypsin, haptoglobin and prealbumin
1
8 46
9 8
10 14
11 5
12 64
13 26
14 10
15 3
16 9
17 1
18 14
19 53

About Richard Siegel

Richard Siegel is a scholar working on Immunology, Small Animals and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 356 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Hemoglobin structure and function (3 papers). The work is most often cited by research in Immunology (133 citations), Hematology (59 citations) and Genetics (52 citations). Richard Siegel has collaborated with scholars based in United States. Frequent co-authors include James F. Fries, Verne N. Schumaker, Pak H. Poon, Anastassios G. Pittas, Candace Strang, Martin L. Phillips, Lina Moitoso de Vargas, Larry G. Moss, Renata E. Cathou and Douglas C. Hanson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

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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