Sara Gorjestani

2.0k total citations · 1 hit paper
7 papers, 697 citations indexed

About

Sara Gorjestani is a scholar working on Immunology, Infectious Diseases and Cancer Research. According to data from OpenAlex, Sara Gorjestani has authored 7 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Infectious Diseases and 3 papers in Cancer Research. Recurrent topics in Sara Gorjestani's work include Antifungal resistance and susceptibility (3 papers), Immune Response and Inflammation (3 papers) and NF-κB Signaling Pathways (3 papers). Sara Gorjestani is often cited by papers focused on Antifungal resistance and susceptibility (3 papers), Immune Response and Inflammation (3 papers) and NF-κB Signaling Pathways (3 papers). Sara Gorjestani collaborates with scholars based in United States, China and Switzerland. Sara Gorjestani's co-authors include Xin Lin, Shannon M. Liudahl, Douglas Hanahan, Morgan Truitt, Grace Kim, Brian Ruffell, Betty Chang, Megan M. Kaneda, Bryan Irving and Nesrine I. Affara and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and European Journal of Immunology.

In The Last Decade

Sara Gorjestani

7 papers receiving 690 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.

Bruton Tyrosine Kinase–Dependent Immune Cell Cross-talk Drives Pancreas Cancer

2015 381 citations Andrew J. Gunderson, Megan M. Kaneda et al. Cancer Discovery profile →

Peers

Sara Gorjestani

IMMUN

ONCOL

MB

CR

EPIDE

Yuliya V. Katlinskaya United States

Jessica Fioravanti Spain

Andrea Majoros Austria

Natalia Ziętara Germany

Maryaline Coffre United States

Karen Brajão de Oliveira Brazil

Anthony J. Scarzello United States

Emanuela M. Iancu Switzerland

Jürgen R. Müller United States

Catalina Martínez Colombia

Yuliya V. Katlinskaya United States

Sara Gorjestani

421 ×1.0

IMMUN

257 ×0.9

ONCOL

252 ×1.3

MB

78 ×0.7

CR

87 ×0.9

EPIDE

Citations per year, relative to Sara Gorjestani Sara Gorjestani (= 1×) peers Yuliya V. Katlinskaya

Countries citing papers authored by Sara Gorjestani

Since Specialization

Citations

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

Fields of papers citing papers by Sara Gorjestani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Gorjestani

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

All Works

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7 of 7 papers shown

1.

Gunderson, Andrew J., Megan M. Kaneda, Takahiro Tsujikawa, et al.. (2015). Bruton Tyrosine Kinase–Dependent Immune Cell Cross-talk Drives Pancreas Cancer. Cancer Discovery. 6(3). 270–285. 381 indexed citations breakdown →

2.

Jia, Xin‐Ming, Bing Tang, Lele Zhu, et al.. (2014). CARD9 mediates Dectin-1–induced ERK activation by linking Ras-GRF1 to H-Ras for antifungal immunity. The Journal of Experimental Medicine. 211(11). 2307–2321. 116 indexed citations

3.

Atif, Shaikh M., Lin‐Xi Li, Satoshi Uematsu, et al.. (2014). Rapid CD4⁺ T‐cell responses to bacterial flagellin require dendritic cell expression of Syk and CARD9. European Journal of Immunology. 45(2). 513–524. 16 indexed citations

4.

Liu, Xikui, Hongxiu Li, Bo Zhong, et al.. (2013). USP18 inhibits NF-κB and NFAT activation during Th17 differentiation by deubiquitinating the TAK1–TAB1 complex. The Journal of Experimental Medicine. 210(8). 1575–1590. 104 indexed citations

5.

Gorjestani, Sara, Bryant G. Darnay, & Xin Lin. (2012). Tumor Necrosis Factor Receptor-associated Factor 6 (TRAF6) and TGFβ-activated Kinase 1 (TAK1) Play Essential Roles in the C-type Lectin Receptor Signaling in Response to Candida albicans Infection. Journal of Biological Chemistry. 287(53). 44143–44150. 23 indexed citations

6.

Gorjestani, Sara, Mei Yu, Bing Tang, et al.. (2011). Phospholipase Cγ2 (PLCγ2) Is Key Component in Dectin-2 Signaling Pathway, Mediating Anti-fungal Innate Immune Responses. Journal of Biological Chemistry. 286(51). 43651–43659. 38 indexed citations

7.

Gorjestani, Sara, et al.. (2008). Extracellular signal–regulated kinase 1/2 signalling in SLE T cells is influenced by oestrogen and disease activity. Lupus. 17(6). 548–554. 19 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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