Ikram Hammi

433 total citations · 1 hit paper
6 papers, 304 citations indexed

About

Ikram Hammi is a scholar working on Infectious Diseases, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ikram Hammi has authored 6 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ikram Hammi's work include Research on Leishmaniasis Studies (3 papers), COVID-19 Clinical Research Studies (2 papers) and Inflammasome and immune disorders (2 papers). Ikram Hammi is often cited by papers focused on Research on Leishmaniasis Studies (3 papers), COVID-19 Clinical Research Studies (2 papers) and Inflammasome and immune disorders (2 papers). Ikram Hammi collaborates with scholars based in Morocco, France and United States. Ikram Hammi's co-authors include Khadija Akarid, Fadila Guessous, Fraser Soares, Stephen E. Girardin, Samuel A. Killackey, Damien Arnoult, Dana J. Philpott, Ali A. Abdul‐Sater, Nathaniel J. Winsor and Myriam Riyad and has published in prestigious journals such as Molecular Cell, Cytokine and Microbial Pathogenesis.

In The Last Decade

Ikram Hammi

6 papers receiving 298 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.

The pro-inflammatory cytokines in COVID-19 pathogenesis: What goes wrong?

2021 236 citations Ikram Hammi, Fadila Guessous et al. Microbial Pathogenesis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ikram Hammi Morocco	4	148	96	74	53	49	6	304
Ramazan Sabırlı Türkiye	10	183 1.2×	80 0.8×	74 1.0×	35 0.7×	54 1.1×	23	328
Ana Mendes‐Frias Portugal	7	175 1.2×	93 1.0×	100 1.4×	77 1.5×	36 0.7×	14	376
Julys da Fonseca Palmeira Brazil	5	185 1.3×	79 0.8×	49 0.7×	45 0.8×	27 0.6×	9	286
Jie Tan China	6	170 1.1×	82 0.9×	97 1.3×	21 0.4×	37 0.8×	11	343
Giovanna Schiuma Italy	8	140 0.9×	52 0.5×	55 0.7×	94 1.8×	40 0.8×	23	300
Akansha Sinha Australia	3	254 1.7×	181 1.9×	69 0.9×	30 0.6×	60 1.2×	8	395
Anupama Ramakanth Pai India	6	259 1.8×	196 2.0×	69 0.9×	31 0.6×	49 1.0×	9	430
Laura Zhao United States	4	299 2.0×	120 1.3×	73 1.0×	60 1.1×	34 0.7×	4	394
Danielle J. Dauphars United States	5	207 1.4×	117 1.2×	84 1.1×	86 1.6×	29 0.6×	7	352
Youvika Singh Brazil	4	210 1.4×	78 0.8×	55 0.7×	33 0.6×	20 0.4×	7	303

Countries citing papers authored by Ikram Hammi

Since Specialization

Citations

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

Fields of papers citing papers by Ikram Hammi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikram Hammi

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

All Works

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6 of 6 papers shown

1.

Desterke, Christophe, et al.. (2025). Host immunopathology in Zoonotic Cutaneous Leishmaniasis: Exploring the impact of the diversity of Leishmania major strains from two Moroccan foci. Microbial Pathogenesis. 202. 107414–107414. 1 indexed citations

2.

Hammi, Ikram, et al.. (2023). Type I and III interferons are good markers to monitor COVID-19 pathophysiology. Cytokine. 165. 156172–156172. 5 indexed citations

3.

Hammi, Ikram, et al.. (2022). Capparis spinosa inhibits Leishmania major growth through nitric oxide production in vitro and arginase inhibition in silico. Experimental Parasitology. 245. 108452–108452. 1 indexed citations

4.

Killackey, Samuel A., Fraser Soares, Ikram Hammi, et al.. (2022). Mitochondrial protein import stress regulates the LC3 lipidation step of mitophagy through NLRX1 and RRBP1. Molecular Cell. 82(15). 2815–2831.e5. 50 indexed citations

5.

Hammi, Ikram, et al.. (2021). The pro-inflammatory cytokines in COVID-19 pathogenesis: What goes wrong?. Microbial Pathogenesis. 153. 104799–104799. 236 indexed citations breakdown →

6.

Hammi, Ikram, et al.. (2020). The different faces of the NLRP3 inflammasome in cutaneous Leishmaniasis: A review. Cytokine. 147. 155248–155248. 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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