M Yazdani

88 total papers · 1.2k total citations
50 papers, 693 citations indexed

About

M Yazdani is a scholar working on Plant Science, Immunology and Clinical Psychology. According to data from OpenAlex, M Yazdani has authored 50 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Immunology and 5 papers in Clinical Psychology. Recurrent topics in M Yazdani's work include Rice Cultivation and Yield Improvement (6 papers), Health and Well-being Studies (5 papers) and Error Correcting Code Techniques (4 papers). M Yazdani is often cited by papers focused on Rice Cultivation and Yield Improvement (6 papers), Health and Well-being Studies (5 papers) and Error Correcting Code Techniques (4 papers). M Yazdani collaborates with scholars based in Iran, Canada and United States. M Yazdani's co-authors include Amir H. Banihashemi, Nasser Gholijani, Saied Hemati, Ladan Dastgheib, Alireza Rafiei, Zahra Yazdani, Reza Valadan, Sayed‐Farhad Mousavi, B. Mostafazadeh‐Fard and Abbas Hemmat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Pharmacology and Experimental Therapeutics and Geoderma.

In The Last Decade

M Yazdani

47 papers receiving 653 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M Yazdani	269	255	92	69	58	50	693
Shiyong Chen	45 0.2×	155 0.6×	116 1.3×	53 0.8×	3 0.1×	85	731
Srivastava	78 0.3×	110 0.4×	73 0.8×	43 0.6×	11 0.2×	74	693
M.A. Mañú	71 0.3×	21 0.1×	47 0.5×	10 0.1×	16 0.3×	72	575
Hyung Ho Lee	38 0.1×	22 0.1×	176 1.9×	85 1.2×	13 0.2×	87	644
Özgür Özdemir	39 0.1×	46 0.2×	62 0.7×	43 0.6×	44 0.8×	108	684
Chien‐Chia Chen	46 0.2×	93 0.4×	71 0.8×	90 1.3×	5 0.1×	58	688
Preet Kaur	18 0.1×	86 0.3×	85 0.9×	58 0.8×	34 0.6×	39	697
Keiji Kimura	118 0.4×	69 0.3×	67 0.7×	30 0.4×	2 0.0×	102	713
Hongxia Xia	20 0.1×	17 0.1×	62 0.7×	23 0.3×	18 0.3×	54	682
Dehui Liu	38 0.1×	53 0.2×	155 1.7×	31 0.4×	2 0.0×	69	745

Countries citing papers authored by M Yazdani

Since Specialization

Citations

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

Fields of papers citing papers by M Yazdani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Yazdani

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

All Works

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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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