Vida Hashemi

1.2k citations
20 papers · 839 indexed · h-index 13

Impact in

  • Immunology top 10%
    • Reproductive System and Pregnancy
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Pregnancy and preeclampsia studies

Papers in

    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 4
    • Reproductive System and Pregnancy 3
    • Pregnancy and preeclampsia studies 2

Vida Hashemi

17 papers receiving 829 citations

Peers

Vida Hashemi
Comparison fields: 5 of 94
  • Immunology 363
  • Obstetrics and Gynecology 85
  • Oncology 260
  • Cancer Research 115
  • Infectious Diseases 113
Replace Qiongzhen Zeng with:
Qiongzhen Zeng China
Beatriz Martins Tavares‐Murta Brazil
Mingxiang Ye China
Srinivas Chava United States
Hui Xing China
Krystyna Gałązka Poland
Xiangyang Lin China
Weiting Qin China
Marijke Kamsteeg Netherlands
Vida Hashemi relative to Qiongzhen Zeng China Qiongzhen Zeng's profile →
Citations per field
00.5×3.1×
Qiongzhen Zeng · 1×
Citations per year

Countries citing papers authored by Vida Hashemi

Since Specialization
Citations

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

Fields of papers citing papers by Vida Hashemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Vida Hashemi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Vida Hashemi Line = papers co-authored together Vida Hashemi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20230
4 20230
5 202128
6 202012
7 202068
8 202032
9 2020113
10 202086
11 20206
12 201929
13 201942
14 201826
15 2018222
16 201847
17 201872
18 201736
19 20123
20 201116

About Vida Hashemi

Vida Hashemi is a scholar working on Immunology, Obstetrics and Gynecology, Oncology, Infectious Diseases and Nephrology, having authored 20 papers that have together received 839 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (5 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (3 papers), Reproductive System and Pregnancy (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Immunology (363 citations), Obstetrics and Gynecology (85 citations), Oncology (260 citations), Cancer Research (115 citations) and Infectious Diseases (113 citations). Vida Hashemi has collaborated with scholars based in Iran, Sweden and Russia. Frequent co-authors include Farhad Jadidi‐Niaragh, Mehdi Yousefi, Ali Masjedi, Arezoo Hosseini, Ghasem Ghalamfarsa, Mohammad Hojjat‐Farsangi, Tohid Gharibi, Gholamreza Azizi, Meghdad Abdollahpour‐Alitappeh and Sanam Dolati. Their work appears in journals such as Biomedicine & Pharmacotherapy, International Immunopharmacology, Journal of Cellular Physiology, Immunology Letters and Immunology and Cell Biology.

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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