Amr Al‐Haidari

956 total citations · 1 hit paper
7 papers, 580 citations indexed

About

Amr Al‐Haidari is a scholar working on Cancer Research, Molecular Biology and Surgery. According to data from OpenAlex, Amr Al‐Haidari has authored 7 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Amr Al‐Haidari's work include MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers) and Cancer-related molecular mechanisms research (2 papers). Amr Al‐Haidari is often cited by papers focused on MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers) and Cancer-related molecular mechanisms research (2 papers). Amr Al‐Haidari collaborates with scholars based in Sweden and China. Amr Al‐Haidari's co-authors include Kinjal Shah, Julhash U. Kazi, Jianmin Sun, Henrik Thorlacius, Ingvar Syk, Raed Madhi and Milladur Rahman and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

In The Last Decade

Amr Al‐Haidari

7 papers receiving 578 citations

Hit Papers

align trajectories sort by overperformance

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.

T cell receptor (TCR) signaling in health and disease

2021 332 citations Kinjal Shah, Amr Al‐Haidari et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amr Al‐Haidari Sweden	7	255	249	171	153	40	7	580
Benling Xu China	11	191 0.7×	133 0.5×	213 1.2×	132 0.9×	41 1.0×	22	455
Meidi Gu United States	12	204 0.8×	205 0.8×	126 0.7×	132 0.9×	53 1.3×	14	443
Saeed Farajzadeh Valilou Iran	6	235 0.9×	309 1.2×	343 2.0×	97 0.6×	79 2.0×	9	664
Kristin C. Hicks United States	11	229 0.9×	325 1.3×	385 2.3×	81 0.5×	47 1.2×	18	664
Caren Jayasinghe Germany	10	204 0.8×	182 0.7×	286 1.7×	138 0.9×	40 1.0×	16	510
Maja Milanovic Germany	12	403 1.6×	171 0.7×	124 0.7×	116 0.8×	28 0.7×	21	646
Polina Weitzenfeld Israel	8	240 0.9×	288 1.2×	306 1.8×	79 0.5×	42 1.1×	9	573
Carmen M. Anadon United States	10	334 1.3×	187 0.8×	195 1.1×	141 0.9×	48 1.2×	18	634
Minghao Zhong United States	9	244 1.0×	182 0.7×	246 1.4×	55 0.4×	34 0.8×	23	499
Angela M. Gocher United States	5	264 1.0×	320 1.3×	326 1.9×	94 0.6×	91 2.3×	7	662

Countries citing papers authored by Amr Al‐Haidari

Since Specialization

Citations

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

Fields of papers citing papers by Amr Al‐Haidari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amr Al‐Haidari. 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 Amr Al‐Haidari. The network helps show where Amr Al‐Haidari may publish in the future.

Co-authorship network of co-authors of Amr Al‐Haidari

This figure shows the co-authorship network connecting the top 25 collaborators of Amr Al‐Haidari. A scholar is included among the top collaborators of Amr Al‐Haidari 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 Amr Al‐Haidari. Amr Al‐Haidari 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.

Al‐Haidari, Amr, et al.. (2021). CXCL2-CXCR2 axis mediates αV integrin-dependent peritoneal metastasis of colon cancer cells. Clinical & Experimental Metastasis. 38(4). 401–410. 30 indexed citations

2.

Shah, Kinjal, Amr Al‐Haidari, Jianmin Sun, & Julhash U. Kazi. (2021). T cell receptor (TCR) signaling in health and disease. Signal Transduction and Targeted Therapy. 6(1). 412–412. 332 indexed citations breakdown →

3.

Al‐Haidari, Amr, et al.. (2020). MicroRNA-340-5p inhibits colon cancer cell migration via targeting of RhoA. Scientific Reports. 10(1). 16934–16934. 14 indexed citations

4.

Al‐Haidari, Amr, et al.. (2019). MiR-155 Regulates PAD4-Dependent Formation of Neutrophil Extracellular Traps. Frontiers in Immunology. 10. 2462–2462. 64 indexed citations

5.

Al‐Haidari, Amr, et al.. (2018). MiR-155-5p controls colon cancer cell migration via post-transcriptional regulation of Human Antigen R (HuR). Cancer Letters. 421. 145–151. 66 indexed citations

6.

Al‐Haidari, Amr, Ingvar Syk, & Henrik Thorlacius. (2017). MiR-155-5p positively regulates CCL17-induced colon cancer cell migration by targeting RhoA. Oncotarget. 8(9). 14887–14896. 45 indexed citations

7.

Al‐Haidari, Amr, Ingvar Syk, & Henrik Thorlacius. (2014). HMG-CoA reductase regulates CCL17-induced colon cancer cell migration via geranylgeranylation and RhoA activation. Biochemical and Biophysical Research Communications. 446(1). 68–72. 29 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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