Miriam Siekevitz

2.8k citations
22 papers · 2.6k indexed · h-index 16
Topics
T-cell and Retrovirus Studies (9 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)T-cell and B-cell Immunology (8 papers)
Partner nations
United StatesGermany

In The Last Decade

Miriam Siekevitz

22 papers receiving 2.5k citations

Peers

Miriam Siekevitz
Comparison fields: 5 of 86
  • Immunology 1.9k
  • Molecular Biology 741
  • Agronomy and Crop Science 606
  • Ecology, Evolution, Behavior and Systematics 555
  • Radiology, Nuclear Medicine and Imaging 533
Replace Ernst Böhnlein with:
Ernst Böhnlein United States
Louis Gazzolo France
Claudine Pique France
Jean‐Marie Péloponèse France
Rebecca I. Montgomery United States
Heidi Diggelmann Switzerland
R. Kettmann Belgium
Véronique Robert-Hebmann France
B Fleckenstein Germany
Hideki Tozawa Japan
Miriam Siekevitz relative to Ernst Böhnlein United States Ernst Böhnlein's profile →
Citations per field
00.5×10×14.0×
Ernst Böhnlein · 1×
Citations per year

Countries citing papers authored by Miriam Siekevitz

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Siekevitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Siekevitz

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Siekevitz. A scholar is included among the top collaborators of Miriam Siekevitz 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 Miriam Siekevitz. Miriam Siekevitz 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 3
2 25
3 138
4 23
5 2
6 76
7 306
8 3
9 378
10 377
11 198
12 194
13 20
14 2
15 134
16 3
17 82
18 15
19 119
20 44

About Miriam Siekevitz

Miriam Siekevitz is a scholar working on Immunology, Agronomy and Crop Science and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and T-cell and B-cell Immunology (8 papers). The work is most often cited by research in Virology (435 citations), Immunology (1.9k citations) and Agronomy and Crop Science (606 citations). Miriam Siekevitz has collaborated with scholars based in United States and Germany. Frequent co-authors include Warner C. Greene, Flossie Wong‐Staal, Ernst Böhnlein, Dean W. Ballard, Renate Dildrop, Nikki J. Holbrook, Klaus Rajewsky, Mark B. Feinberg, B. Robert Franza and Christine Kocks. Their work appears in journals such as Nature, Science and Cell.

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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