Saeed Daneshmandi

1.6k citations
60 papers · 1.2k · h-index 21

Impact in

  • Immunology top 10%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Immune cells in cancer 12
    • Immunotherapy and Immune Responses 9
    • Immune Response and Inflammation 4
    • Immune Cell Function and Interaction 4
    • Cancer, Hypoxia, and Metabolism 4

Saeed Daneshmandi

57 papers receiving 1.2k citations

Peers

Saeed Daneshmandi
Comparison fields: 5 of 99
  • Immunology 403
  • Cancer Research 225
  • Transplantation 29
  • Oncology 251
  • Genetics 55
Replace Junfeng Du with:
Junfeng Du China
Kageaki Kuribayashi Japan
Bo‐Mi Kim South Korea
Takayoshi Hamamoto Japan
Carla Noemi Castro Germany
Laura Tronci Italy
Kirk Salvatore Culotta United States
Harald Thidemann Johansen Norway
Senthamil R. Selvan United States
Saeed Daneshmandi relative to Junfeng Du China Junfeng Du's profile →
Citations per field
00.5×2×2.6×
Junfeng Du · 1×
Citations per year

Countries citing papers authored by Saeed Daneshmandi

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Daneshmandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Saeed Daneshmandi, 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 Saeed Daneshmandi Line = papers co-authored together Saeed Daneshmandi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019144
2 2018125
3 201890
4 201949
5 201946
6 201144
7 202142
8 201142
9 201038
10 201736
11 202135
12
Association of programmed cell death-1 (PDCD-1) gene polymorphisms with rheumatoid arthritis in Iranian patients.
201233
13 201432
14 201031
15 201130
16 202430
17 201927
18 200926
19 201425
20 201325

About Saeed Daneshmandi

Saeed Daneshmandi is a scholar working on Immunology, Cancer Research, Pharmaceutical Science, Oncology and Pharmacology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune cells in cancer (12 papers), Immunotherapy and Immune Responses (9 papers), Asthma and respiratory diseases (5 papers), RNA Interference and Gene Delivery (4 papers), Essential Oils and Antimicrobial Activity (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Immune Response and Inflammation (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Immunology (403 citations), Cancer Research (225 citations), Transplantation (29 citations), Oncology (251 citations) and Genetics (55 citations). Saeed Daneshmandi has collaborated with scholars based in Iran, United States and Japan. Frequent co-authors include Pankaj Seth, Ali Akbar Pourfathollah, Mohammad Hossein Karimi, Vassiliki A. Boussiotis, Marta Vuerich, Barbara Wegiel, Laura Strauss, Halil‐Ibrahim Aksoylar, Teresa W.‐M. Fan and Richard M. Higashi. Their work appears in journals such as Immunopharmacology and Immunotoxicology, Molecular Biology Reports, Nature Communications, eLife and Blood.

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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