Miri Michaeli

502 total citations
9 papers, 239 citations indexed

About

Miri Michaeli is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Miri Michaeli has authored 9 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Miri Michaeli's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Miri Michaeli is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Miri Michaeli collaborates with scholars based in Israel, United Kingdom and United States. Miri Michaeli's co-authors include Ramit Mehr, Yishai Pickman, Lena Hazanov, Hilla Tabibian‐Keissar, Iris Barshack, Kinneret Rosenblatt, Steven H. Kleinstein, Ang Cui, Robert S. Mittler and Caitlin Bohannon and has published in prestigious journals such as Nature Communications, PLoS ONE and Frontiers in Immunology.

In The Last Decade

Miri Michaeli

9 papers receiving 236 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Miri Michaeli Israel	7	146	43	43	39	35	9	239
Martina Przekopowitz Germany	3	183 1.3×	27 0.6×	39 0.9×	26 0.7×	21 0.6×	4	239
Vasileios Bikos Greece	4	141 1.0×	59 1.4×	75 1.7×	53 1.4×	43 1.2×	7	235
William Loo United States	9	249 1.7×	68 1.6×	20 0.5×	56 1.4×	33 0.9×	11	382
Naonori Nishida Japan	8	157 1.1×	56 1.3×	15 0.3×	20 0.5×	40 1.1×	11	247
Katrin Hebel Germany	9	210 1.4×	51 1.2×	13 0.3×	19 0.5×	34 1.0×	11	306
Julia Prinz Germany	9	163 1.1×	12 0.3×	53 1.2×	26 0.7×	28 0.8×	22	431
Alexandre Nouël France	7	235 1.6×	32 0.7×	15 0.3×	13 0.3×	49 1.4×	7	314
Clara Young Australia	7	383 2.6×	102 2.4×	21 0.5×	35 0.9×	46 1.3×	7	471
Patrick Miqueu France	7	208 1.4×	29 0.7×	23 0.5×	18 0.5×	62 1.8×	10	304
Ignacio Criado Spain	8	219 1.5×	63 1.5×	92 2.1×	27 0.7×	55 1.6×	15	362

Countries citing papers authored by Miri Michaeli

Since Specialization

Citations

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

Fields of papers citing papers by Miri Michaeli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miri Michaeli

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

All Works

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9 of 9 papers shown

1.

Michaeli, Miri, et al.. (2022). Mutational patterns along different evolution paths of follicular lymphoma. Frontiers in Oncology. 12. 1029995–1029995. 1 indexed citations

2.

Bohannon, Caitlin, Ang Cui, Christopher M. Tipton, et al.. (2016). Long-lived antigen-induced IgM plasma cells demonstrate somatic mutations and contribute to long-term protection. Nature Communications. 7(1). 11826–11826. 86 indexed citations

3.

Carlotti, Emanuela, David Wrench, Guglielmo Rosignoli, et al.. (2015). High Throughput Sequencing Analysis of the Immunoglobulin Heavy Chain Gene from Flow-Sorted B Cell Sub-Populations Define the Dynamics of Follicular Lymphoma Clonal Evolution. PLoS ONE. 10(9). e0134833–e0134833. 26 indexed citations

4.

Tabibian‐Keissar, Hilla, Lena Hazanov, Ginette Schiby, et al.. (2015). Aging affects B‐cell antigen receptor repertoire diversity in primary and secondary lymphoid tissues. European Journal of Immunology. 46(2). 480–492. 55 indexed citations

5.

Michaeli, Miri, Hilla Tabibian‐Keissar, Ginette Schiby, et al.. (2014). Immunoglobulin Gene Repertoire Diversification and Selection in the Stomach â€“ From Gastritis to Gastric Lymphomas. Frontiers in Immunology. 5. 18 indexed citations

6.

Michaeli, Miri, et al.. (2013). Automated analysis of immunoglobulin genes from high-throughput sequencing: life without a template. PubMed. 3(1). 15–15. 8 indexed citations

7.

Tabibian‐Keissar, Hilla, Miri Michaeli, Deborah K. Dunn‐Walters, et al.. (2012). PCR amplification and high throughput sequencing of immunoglobulin heavy chain genes from formalin-fixed paraffin-embedded human biopsies. Experimental and Molecular Pathology. 94(1). 182–187. 6 indexed citations

8.

Michaeli, Miri, et al.. (2012). Automated cleaning and pre-processing of immunoglobulin gene sequences from high-throughput sequencing. Frontiers in Immunology. 3. 386–386. 12 indexed citations

9.

Mehr, Ramit, et al.. (2012). Models and methods for analysis of lymphocyte repertoire generation, development, selection and evolution. Immunology Letters. 148(1). 11–22. 27 indexed citations

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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