Shahla Danaii

55 total papers · 1.2k total citations
48 papers, 835 citations indexed

About

Shahla Danaii is a scholar working on Immunology, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Shahla Danaii has authored 48 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Immunology, 22 papers in Obstetrics and Gynecology and 20 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Shahla Danaii's work include Reproductive System and Pregnancy (37 papers), Pregnancy and preeclampsia studies (17 papers) and Endometriosis Research and Treatment (16 papers). Shahla Danaii is often cited by papers focused on Reproductive System and Pregnancy (37 papers), Pregnancy and preeclampsia studies (17 papers) and Endometriosis Research and Treatment (16 papers). Shahla Danaii collaborates with scholars based in Iran, Sweden and Poland. Shahla Danaii's co-authors include Mehdi Yousefi, Leili Aghebati‐Maleki, Mohammad Sadegh Soltani‐Zangbar, Amir Mehdizadeh, Majid Ahmadi, Sanam Dolati, Farhad Jadidi‐Niaragh, Hossein Samadi Kafil, Amin Kamrani and Samaneh Abdolmohammadi‐Vahid and has published in prestigious journals such as SHILAP Revista de lepidopterología, Human Reproduction and Journal of Cellular Physiology.

In The Last Decade

Shahla Danaii

42 papers receiving 822 citations

Author Peers

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

Author Last Decade Papers Cites
Shahla Danaii 610 324 310 267 123 48 835
Ewa Głowacka 512 0.8× 119 0.4× 286 0.9× 215 0.8× 105 0.9× 66 896
Kobra Hamdi 393 0.6× 396 1.2× 186 0.6× 410 1.5× 160 1.3× 62 865
Hady El Hachem 423 0.7× 457 1.4× 307 1.0× 545 2.0× 125 1.0× 36 949
Jana Skrzypczak 529 0.9× 213 0.7× 426 1.4× 658 2.5× 83 0.7× 81 1.0k
Hsien‐Ming Wu 234 0.4× 309 1.0× 273 0.9× 547 2.0× 161 1.3× 49 989
Yuhan Meng 436 0.7× 103 0.3× 276 0.9× 239 0.9× 220 1.8× 41 893
Mátyás Meggyes 513 0.8× 128 0.4× 227 0.7× 150 0.6× 210 1.7× 38 872
Zeinab Latifi 309 0.5× 186 0.6× 139 0.4× 268 1.0× 278 2.3× 39 735
Gertrud Unfried 304 0.5× 187 0.6× 325 1.0× 291 1.1× 132 1.1× 28 943
Hongchu Bao 385 0.6× 384 1.2× 172 0.6× 431 1.6× 211 1.7× 64 980

Countries citing papers authored by Shahla Danaii

Since Specialization
Citations

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

Fields of papers citing papers by Shahla Danaii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shahla Danaii

This figure shows the co-authorship network connecting the top 25 collaborators of Shahla Danaii. A scholar is included among the top collaborators of Shahla Danaii 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 Shahla Danaii. Shahla Danaii 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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2026