Shabnam Eghbali

932 total citations · 1 hit paper
5 papers, 619 citations indexed

About

Shabnam Eghbali is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Shabnam Eghbali has authored 5 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Shabnam Eghbali's work include Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Shabnam Eghbali is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Pancreatic and Hepatic Oncology Research (1 paper). Shabnam Eghbali collaborates with scholars based in United States. Shabnam Eghbali's co-authors include Chien‐Huan Weng, Taha Merghoub, Jedd D. Wolchok, Lukas Kraehenbuehl, Rebecca Kim, Gregory L. Beatty, Thatcher Heumann, Sébastien Monette, Levi Mangarin and Cailian Liu and has published in prestigious journals such as Cancer Research, Nature Reviews Clinical Oncology and Cancers.

In The Last Decade

Shabnam Eghbali

4 papers receiving 613 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.

Enhancing immunotherapy in cancer by targeting emerging immunomodulatory pathways

2021 557 citations Lukas Kraehenbuehl, Chien‐Huan Weng et al. Nature Reviews Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shabnam Eghbali United States	4	373	296	179	109	92	5	619
María Jesús García-Granda Spain	5	367 1.0×	301 1.0×	144 0.8×	94 0.9×	85 0.9×	5	575
Lukas Kraehenbuehl United States	9	452 1.2×	327 1.1×	190 1.1×	132 1.2×	96 1.0×	23	762
Zhengtao Hong China	7	239 0.6×	222 0.8×	142 0.8×	82 0.8×	78 0.8×	9	458
Ashwat Nagarajan United States	3	335 0.9×	313 1.1×	178 1.0×	68 0.6×	68 0.7×	4	620
Brian M. Olson United States	9	321 0.9×	308 1.0×	167 0.9×	95 0.9×	67 0.7×	27	590
Xinxin Nie United States	8	286 0.8×	433 1.5×	315 1.8×	102 0.9×	75 0.8×	9	705
Graham M. Tooker United States	6	359 1.0×	319 1.1×	116 0.6×	67 0.6×	68 0.7×	8	568
Mingshan Cheng United States	9	334 0.9×	169 0.6×	149 0.8×	117 1.1×	65 0.7×	27	541
Dmitrij Ostroumov Germany	5	337 0.9×	294 1.0×	137 0.8×	60 0.6×	45 0.5×	6	526
Janina Dörr Germany	2	253 0.7×	263 0.9×	177 1.0×	49 0.4×	53 0.6×	2	530

Countries citing papers authored by Shabnam Eghbali

Since Specialization

Citations

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

Fields of papers citing papers by Shabnam Eghbali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shabnam Eghbali

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

All Works

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5 of 5 papers shown

1.

Eghbali, Shabnam & Thatcher Heumann. (2025). Next-Generation Immunotherapy for Hepatocellular Carcinoma: Mechanisms of Resistance and Novel Treatment Approaches. Cancers. 17(2). 236–236. 6 indexed citations

2.

Weng, Chien‐Huan, Shabnam Eghbali, Sébastien Monette, et al.. (2024). Abstract 7472: Melanoma-intrinsic expression of signal-regulatory protein alpha (SIRPα) confers tumor cells resistance to anti-tumor adaptive immunity. Cancer Research. 84(6_Supplement). 7472–7472. 1 indexed citations

3.

Kraehenbuehl, Lukas, Chien‐Huan Weng, Shabnam Eghbali, Jedd D. Wolchok, & Taha Merghoub. (2021). Enhancing immunotherapy in cancer by targeting emerging immunomodulatory pathways. Nature Reviews Clinical Oncology. 19(1). 37–50. 557 indexed citations breakdown →

4.

Beatty, Gregory L., Shabnam Eghbali, & Rebecca Kim. (2017). Deploying Immunotherapy in Pancreatic Cancer: Defining Mechanisms of Response and Resistance. American Society of Clinical Oncology Educational Book. 37(37). 267–278. 44 indexed citations

5.

Beatty, Gregory L., Shabnam Eghbali, & Rebecca Kim. (2017). Deploying Immunotherapy in Pancreatic Cancer: Defining Mechanisms of Response and Resistance. American Society of Clinical Oncology Educational Book. 37. 267–278. 11 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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