Jonathan Semo

451 total citations
9 papers, 355 citations indexed

About

Jonathan Semo is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Jonathan Semo has authored 9 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Neurology and 2 papers in Oncology. Recurrent topics in Jonathan Semo's work include Lymphatic System and Diseases (2 papers), Circular RNAs in diseases (2 papers) and Cancer-related molecular mechanisms research (2 papers). Jonathan Semo is often cited by papers focused on Lymphatic System and Diseases (2 papers), Circular RNAs in diseases (2 papers) and Cancer-related molecular mechanisms research (2 papers). Jonathan Semo collaborates with scholars based in Israel, United States and Germany. Jonathan Semo's co-authors include Karina Yaniv, Julian Nicenboim, Michal Entin‐Meer, Jacob George, Gad Keren, Sofia Maysel-Auslender, Aviv Shaish, Natalie Landa‐Rouben, Sara Shimoni and Camila Avivi and has published in prestigious journals such as PLoS ONE, Development and Neurology.

In The Last Decade

Jonathan Semo

8 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan Semo Israel	8	191	100	69	68	65	9	355
Fabiao Zhang China	10	132 0.7×	38 0.4×	42 0.6×	77 1.1×	35 0.5×	23	331
Elizabeth J. Haining United Kingdom	13	151 0.8×	85 0.8×	106 1.5×	36 0.5×	77 1.2×	16	494
Takayuki Sato Japan	13	142 0.7×	45 0.5×	74 1.1×	34 0.5×	50 0.8×	20	384
Hang Shen China	12	97 0.5×	62 0.6×	75 1.1×	77 1.1×	18 0.3×	24	376
Alexander Lang Germany	11	301 1.6×	85 0.8×	68 1.0×	47 0.7×	49 0.8×	30	483
Ting Lu China	13	181 0.9×	63 0.6×	77 1.1×	50 0.7×	9 0.1×	31	381
Ankit Jambusaria United States	6	192 1.0×	34 0.3×	74 1.1×	32 0.5×	29 0.4×	6	356
Galen T Squiers United States	4	379 2.0×	50 0.5×	88 1.3×	106 1.6×	272 4.2×	4	582
Verena Küppers Germany	5	276 1.4×	56 0.6×	123 1.8×	17 0.3×	27 0.4×	6	484
Peter Zentis Germany	9	186 1.0×	135 1.4×	99 1.4×	30 0.4×	9 0.1×	12	446

Countries citing papers authored by Jonathan Semo

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Semo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Semo

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Semo. A scholar is included among the top collaborators of Jonathan Semo 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 Jonathan Semo. Jonathan Semo 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.

Kaspi, Haggai, et al.. (2021). MSC-NTF (NurOwn®) exosomes: a novel therapeutic modality in the mouse LPS-induced ARDS model. Stem Cell Research & Therapy. 12(1). 72–72. 50 indexed citations

2.

Aricha, Revital, et al.. (2020). MSC-NTF Cell Immunomodulation: Effects on T and B Regulatory Cells (790). Neurology. 94(15_supplement).

3.

Gancz, Dana, Brian Raftrey, Rubén Marín‐Juez, et al.. (2019). Distinct origins and molecular mechanisms contribute to lymphatic formation during cardiac growth and regeneration. eLife. 8. 70 indexed citations

4.

Semo, Jonathan, Gil Chernin, Michael Jonas, Sara Shimoni, & Jacob George. (2019). Deletion of the Mir-106b~ 25 MicroRNA cluster attenuates atherosclerosis in Apolipoprotein E knockout mice. Lipids in Health and Disease. 18(1). 208–208. 12 indexed citations

5.

Semo, Jonathan, Julian Nicenboim, & Karina Yaniv. (2016). Development of the lymphatic system: new questions and paradigms. Development. 143(6). 924–935. 65 indexed citations

6.

Entin‐Meer, Michal, Ran Levy, Natalie Landa, et al.. (2014). The Transient Receptor Potential Vanilloid 2 Cation Channel Is Abundant in Macrophages Accumulating at the Peri-Infarct Zone and May Enhance Their Migration Capacity towards Injured Cardiomyocytes following Myocardial Infarction. PLoS ONE. 9(8). e105055–e105055. 33 indexed citations

7.

Semo, Jonathan, Sara Shimoni, Tamar Ben-Mordechai, et al.. (2014). Experimental Myocardial Infarction Induces Altered Regulatory T Cell Hemostasis, and Adoptive Transfer Attenuates Subsequent Remodeling. PLoS ONE. 9(12). e113653–e113653. 66 indexed citations

8.

Semo, Jonathan, Aviv Shaish, Natalie Landa‐Rouben, et al.. (2014). Regulatory T cells influence blood flow recovery in experimental hindlimb ischaemia in an IL-10-dependent manner. Cardiovascular Research. 103(4). 585–596. 25 indexed citations

9.

Semo, Jonathan, Arnon Afek, Camila Avivi, et al.. (2013). The 106b∼25 microRNA cluster is essential for neovascularization after hindlimb ischaemia in mice. European Heart Journal. 35(45). 3212–3223. 34 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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