Masoud Davanlou

1.7k total citations · 2 hit papers
7 papers, 1.1k citations indexed

About

Masoud Davanlou is a scholar working on Oncology, Hematology and Immunology. According to data from OpenAlex, Masoud Davanlou has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Hematology and 3 papers in Immunology. Recurrent topics in Masoud Davanlou's work include Acute Myeloid Leukemia Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Masoud Davanlou is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Colorectal Cancer Screening and Detection (2 papers). Masoud Davanlou collaborates with scholars based in United States, Iran and India. Masoud Davanlou's co-authors include R. Ramazani, Seyed Mohsen Mousavi, Carlos E. Bueso‐Ramos, Hui Yang, Courtney DiNardo, Marcos R. Estecio, Hagop Kantarjian, Guillermo Garcia‐Manero, Zhihong Fang and Jörge E. Cortes and has published in prestigious journals such as Blood, Annals of Oncology and Leukemia.

In The Last Decade

Masoud Davanlou

7 papers receiving 1.1k citations

Hit Papers

Cancer incidence and mortality in Iran 2008 2026 2014 2020 2008 2013 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Masoud Davanlou United States 4 536 320 312 290 113 7 1.1k
Yunsuk Choi South Korea 18 444 0.8× 480 1.5× 339 1.1× 136 0.5× 146 1.3× 101 1.1k
Alexandra M. Harrington United States 17 361 0.7× 227 0.7× 398 1.3× 126 0.4× 195 1.7× 64 1.0k
Rebecca Owens United States 15 371 0.7× 576 1.8× 371 1.2× 211 0.7× 108 1.0× 29 1.2k
Dong‐Yeop Shin South Korea 18 534 1.0× 323 1.0× 269 0.9× 139 0.5× 244 2.2× 147 1.3k
Janelle Perkins United States 19 370 0.7× 763 2.4× 160 0.5× 207 0.7× 79 0.7× 67 1.2k
Annalisa Pezzi Italy 17 529 1.0× 648 2.0× 474 1.5× 89 0.3× 111 1.0× 39 1.1k
Nicole Gormley United States 18 362 0.7× 397 1.2× 272 0.9× 131 0.5× 110 1.0× 53 1.0k
Annie Im United States 13 301 0.6× 403 1.3× 242 0.8× 231 0.8× 39 0.3× 64 851
S.J. Proctor United Kingdom 17 333 0.6× 344 1.1× 290 0.9× 158 0.5× 196 1.7× 44 967
Florence Broussais France 14 350 0.7× 216 0.7× 347 1.1× 267 0.9× 220 1.9× 25 952

Countries citing papers authored by Masoud Davanlou

Since Specialization
Citations

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

Fields of papers citing papers by Masoud Davanlou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masoud Davanlou

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

All Works

7 of 7 papers shown
1.
Partovipour, Elham, Gholamreza Roshandel, Ali Ghanbari Motlagh, et al.. (2021). Bladder Cancer Incidence in Iran: Results of the Iranian National Population-Based Cancer Registry from 2014 to 2016.. PubMed. 19(4). 274–280. 1 indexed citations
2.
Yabe, Mariko, L. Jeffrey Medeiros, Yahya Daneshbod, et al.. (2016). Hepatosplenic T-cell lymphoma arising in patients with immunodysregulatory disorders: a study of 7 patients who did not receive tumor necrosis factor–α inhibitor therapy and literature review. Annals of Diagnostic Pathology. 26. 16–22. 27 indexed citations
3.
Yabe, Mariko, L. Jeffrey Medeiros, Guilin Tang, et al.. (2015). Dyspoietic changes associated with hepatosplenic T-cell lymphoma are not a manifestation of a myelodysplastic syndrome: analysis of 25 patients. Human Pathology. 50. 109–117. 11 indexed citations
4.
Yang, Hui, Carlos E. Bueso‐Ramos, Courtney DiNardo, et al.. (2013). Expression of PD-L1, PD-L2, PD-1 and CTLA4 in myelodysplastic syndromes is enhanced by treatment with hypomethylating agents. Leukemia. 28(6). 1280–1288. 539 indexed citations breakdown →
5.
Bueso‐Ramos, Carlos E., Courtney D. DiNardo, Marcos R. Estecio, et al.. (2013). Expression Of Immune Checkpoints PD-L1, PD-L2, PD-1 and CTLA4 Predict For Prognosis and Resistance To Hypomethylating Agents (HMAs) In Myelodysplastic Syndromes (MDS). Blood. 122(21). 2767–2767. 1 indexed citations
6.
Kargar, Mohammad, et al.. (2010). COMPARISON BETWEEN IMMUNOHISTOCHEMISTRY AND CHROMOGENIC IN SITU HYBRIDIZATION METHOD IN ASSESSMENT OF HER-2 STATUS IN BREAST CANCER. 17(4). 0–0. 1 indexed citations
7.
Mousavi, Seyed Mohsen, et al.. (2008). Cancer incidence and mortality in Iran. Annals of Oncology. 20(3). 556–563. 546 indexed citations breakdown →

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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