Diana Varol

4.5k total citations · 2 hit papers
9 papers, 3.2k citations indexed

About

Diana Varol is a scholar working on Immunology, Neurology and Cancer Research. According to data from OpenAlex, Diana Varol has authored 9 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Neurology and 4 papers in Cancer Research. Recurrent topics in Diana Varol's work include Immune cells in cancer (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and MicroRNA in disease regulation (3 papers). Diana Varol is often cited by papers focused on Immune cells in cancer (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and MicroRNA in disease regulation (3 papers). Diana Varol collaborates with scholars based in Israel, Germany and United States. Diana Varol's co-authors include Steffen Jung, Simon Yona, Yochai Wolf, Alexander Mildner, Ki-Wook Kim, David Hume, Dalit Strauss‐Ayali, Elazar Zelzer, Martin Guilliams and Michal Breker and has published in prestigious journals such as Blood, Nature Neuroscience and Immunity.

In The Last Decade

Diana Varol

9 papers receiving 3.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasis

2012 2.3k citations Simon Yona, Ki-Wook Kim et al. Immunity profile →
A new type of microglia gene targeting shows TAK1 to be pivotal in CNS autoimmune inflammation

2013 516 citations Tobias Goldmann, Peter Wieghofer et al. Nature Neuroscience profile →

Peers

Diana Varol

IMMUN

NEURO

MB

EPIDE

PHYSI

Sofie De Prijck Belgium

Liesbet Martens Belgium

Igal Ifergan Canada

Violeta Chiţu United States

Donovan Low Singapore

Laurent Chorro United States

Stefan Nessler Germany

H.‐Christian von Büdingen United States

Emanuele Azzoni Italy

Lucile Crozet France

Sofie De Prijck Belgium

Diana Varol

2.0k ×1.0

IMMUN

737 ×0.6

NEURO

831 ×1.1

MB

407 ×1.4

EPIDE

235 ×0.9

PHYSI

Citations per year, relative to Diana Varol Diana Varol (= 1×) peers Sofie De Prijck

Countries citing papers authored by Diana Varol

Since Specialization

Citations

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

Fields of papers citing papers by Diana Varol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Varol

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

Haimon, Zhana, Johannes Orthgieß, Sigalit Boura‐Halfon, et al.. (2018). Re-evaluating microglia expression profiles using RiboTag and cell isolation strategies. Nature Immunology. 19(6). 636–644. 141 indexed citations

2.

Feigelson, Sara W., Adam Solomon, Adi Biram, et al.. (2018). ICAMs Are Not Obligatory for Functional Immune Synapses between Naive CD4 T Cells and Lymph Node DCs. Cell Reports. 22(4). 849–859. 24 indexed citations

3.

Varol, Diana, Alexander Mildner, Thomas Blank, et al.. (2017). Dicer Deficiency Differentially Impacts Microglia of the Developing and Adult Brain. Immunity. 46(6). 1030–1044.e8. 68 indexed citations

4.

Mildner, Alexander, Elik Chapnik, Diana Varol, et al.. (2017). MicroRNA‐142 controls thymocyte proliferation. European Journal of Immunology. 47(7). 1142–1152. 31 indexed citations

5.

Kollet, Órit, Yaron Vagima, Gabriele D’Uva, et al.. (2013). Physiologic corticosterone oscillations regulate murine hematopoietic stem/progenitor cell proliferation and CXCL12 expression by bone marrow stromal progenitors. Leukemia. 27(10). 2006–2015. 52 indexed citations

6.

Goldmann, Tobias, Peter Wieghofer, Philippe Müller, et al.. (2013). A new type of microglia gene targeting shows TAK1 to be pivotal in CNS autoimmune inflammation. Nature Neuroscience. 16(11). 1618–1626. 516 indexed citations breakdown →

7.

Yona, Simon, Ki-Wook Kim, Yochai Wolf, et al.. (2013). Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasis. Immunity. 38(5). 1073–1079. 22 indexed citations

8.

Mildner, Alexander, Elik Chapnik, Ohad Manor, et al.. (2012). Mononuclear phagocyte miRNome analysis identifies miR-142 as critical regulator of murine dendritic cell homeostasis. Blood. 121(6). 1016–1027. 88 indexed citations

9.

Yona, Simon, Ki-Wook Kim, Yochai Wolf, et al.. (2012). Fate Mapping Reveals Origins and Dynamics of Monocytes and Tissue Macrophages under Homeostasis. Immunity. 38(1). 79–91. 2282 indexed citations breakdown →

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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