Mohammad Haddadi

53 total papers · 560 total citations
32 papers, 343 citations indexed

About

Mohammad Haddadi is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mohammad Haddadi has authored 32 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Pharmacology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mohammad Haddadi's work include Cholinesterase and Neurodegenerative Diseases (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Mohammad Haddadi is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and Neurobiology and Insect Physiology Research (5 papers). Mohammad Haddadi collaborates with scholars based in Iran, India and Germany. Mohammad Haddadi's co-authors include S. R. Ramesh, T. Shivanandappa, B. K. Chandrasekhar Sagar, R. K. Patil, Upendra Nongthomba, Nima Sanadgol, David I. Finkelstein, Pegah Mousavi, Adib Zendedel and Zohreh Fattahi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neuroscience and Gene.

In The Last Decade

Mohammad Haddadi

31 papers receiving 335 citations

Author Peers

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

Author						Papers	Cites
Mohammad Haddadi	101	86	71	65	51	32	343
Ameya Kasture	148 1.5×	182 2.1×	40 0.6×	26 0.4×	47 0.9×	25	376
Anubhuti Dixit	77 0.8×	69 0.8×	34 0.5×	78 1.2×	62 1.2×	14	320
Maria Dolores Setzu	121 1.2×	126 1.5×	24 0.3×	42 0.6×	56 1.1×	27	400
Hyung Wook Kwon	71 0.7×	108 1.3×	81 1.1×	26 0.4×	110 2.2×	24	399
Juan I. Romero	127 1.3×	88 1.0×	56 0.8×	50 0.8×	23 0.5×	20	396
Gustavo Sánchez‐Chávez	158 1.6×	85 1.0×	43 0.6×	59 0.9×	24 0.5×	21	343
Xiaoting Li	110 1.1×	112 1.3×	92 1.3×	26 0.4×	26 0.5×	28	367
Ying-Chen Yang	159 1.6×	77 0.9×	74 1.0×	65 1.0×	47 0.9×	14	365
Anke Schloesser	120 1.2×	24 0.3×	12 0.2×	94 1.4×	46 0.9×	14	312
Illana Kemmerich Martins	91 0.9×	34 0.4×	31 0.4×	19 0.3×	118 2.3×	27	364

Countries citing papers authored by Mohammad Haddadi

Since Specialization

Citations

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

Fields of papers citing papers by Mohammad Haddadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammad Haddadi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Haddadi. A scholar is included among the top collaborators of Mohammad Haddadi 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 Mohammad Haddadi. Mohammad Haddadi 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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