Michael Sela

29.0k total citations · 6 hit papers
526 papers, 23.0k citations indexed

About

Michael Sela is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Michael Sela has authored 526 papers receiving a total of 23.0k indexed citations (citations by other indexed papers that have themselves been cited), including 269 papers in Molecular Biology, 188 papers in Radiology, Nuclear Medicine and Imaging and 132 papers in Immunology. Recurrent topics in Michael Sela's work include Monoclonal and Polyclonal Antibodies Research (188 papers), Glycosylation and Glycoproteins Research (69 papers) and Protein purification and stability (59 papers). Michael Sela is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (188 papers), Glycosylation and Glycoproteins Research (69 papers) and Protein purification and stability (59 papers). Michael Sela collaborates with scholars based in Israel, United States and France. Michael Sela's co-authors include Ruth Arnon, Christian B. Anfinsen, Dvora Teitelbaum, Yosef Yarden, Edna Mozes, Rina Aharoni, Ephraim Katchalski, Esther Hurwitz, Ruth Arnon and Hugh O. McDevitt and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Michael Sela

518 papers receiving 20.9k citations

Hit Papers

THE KINETICS OF FORMATION OF NATIVE RIBONUCLEASE DURING O... 1957 2026 1980 2003 1961 1996 1957 1957 1957 250 500 750

Peers

Michael Sela
Comparison fields: 5 of 172
  • Molecular Biology 10.4k
  • Immunology 6.2k
  • Radiology, Nuclear Medicine and Imaging 5.7k
  • Oncology 3.6k
  • Pathology and Forensic Medicine 2.6k
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Citations per field, relative to Michael Sela
Michael Sela · 1×
Citations per year, relative to Michael Sela
Michael Sela · 1×

Countries citing papers authored by Michael Sela

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Sela

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Sela. A scholar is included among the top collaborators of Michael Sela 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 Michael Sela. Michael Sela 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
# Work Indexed citations
1 12
2 35
3 37
4 93
5 15
6 106
7 65
8 13
9 75
10
Diversification of Neu differentiation factor and epidermal growth factor signaling by combinatorial receptor interactions. breakdown →
645
11 1
12 132
13 169
14 35
15 13
16 8
17 87
18
Synthetic antigens composed exclusively of L- or D-amino acids. I. Effect of optical configuration on the immunogenicity of synthetic polypeptides in mice.
53
19 25
20 152

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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