Seyda Baydogan

1.1k total citations · 1 hit paper
17 papers, 483 citations indexed

About

Seyda Baydogan is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Seyda Baydogan has authored 17 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Seyda Baydogan's work include Pancreatic and Hepatic Oncology Research (6 papers), Gut microbiota and health (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). Seyda Baydogan is often cited by papers focused on Pancreatic and Hepatic Oncology Research (6 papers), Gut microbiota and health (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). Seyda Baydogan collaborates with scholars based in United States, Türkiye and Chile. Seyda Baydogan's co-authors include Florencia McAllister, Matthew H. G. Katz, Emine Bayraktar, Şeref Olgar, Nermin Kahraman, Pınar Kanlikilicer, Merve Denizli, Burcu Aslan, Amr Ahmed El‐Arabey and Özgür Özkayar and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Seyda Baydogan

16 papers receiving 476 citations

Hit Papers

Exercise-induced engagement of the IL-15/IL-15Rα axis pro... 2022 2026 2023 2024 2022 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Exercise-induced engagement of the IL-15/IL-15Rα axis promotes anti-tumor immunity in pancreatic cancer
    2022 146 citations Emma Kurz, Carolina Alcantara Hirsch et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seyda Baydogan United States 5 239 172 161 108 40 17 483
Guannan Zhou China 14 288 1.2× 85 0.5× 33 0.2× 79 0.7× 36 0.9× 31 535
Sun Mi Kim South Korea 11 211 0.9× 73 0.4× 192 1.2× 28 0.3× 11 0.3× 22 521
Enrique Fernández-Bustillo Spain 13 69 0.3× 251 1.5× 180 1.1× 30 0.3× 55 1.4× 19 506
Esra Güzel Türkiye 13 445 1.9× 403 2.3× 86 0.5× 24 0.2× 42 1.1× 33 660
D. Blackinton United States 8 109 0.5× 19 0.1× 110 0.7× 70 0.6× 17 0.4× 11 357
Gea Kõks Estonia 10 175 0.7× 70 0.4× 53 0.3× 93 0.9× 57 1.4× 15 367
Tuula Salonen Finland 9 87 0.4× 105 0.6× 51 0.3× 25 0.2× 28 0.7× 10 384
L. Teerenhovi Finland 16 95 0.4× 45 0.3× 148 0.9× 103 1.0× 36 0.9× 29 747
Haixia Yang China 13 166 0.7× 84 0.5× 53 0.3× 63 0.6× 21 0.5× 31 357

Countries citing papers authored by Seyda Baydogan

Since Specialization
Citations

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

Fields of papers citing papers by Seyda Baydogan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seyda Baydogan

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

All Works

17 of 17 papers shown
1.
Baydogan, Seyda, Parul Agarwal, R. D. Wright, et al.. (2024). Germline Testing Identifies Pathogenic/Likely Pathogenic Variants in Patients with Pancreatic Neuroendocrine Tumors. Cancer Prevention Research. 17(7). 335–342. 3 indexed citations
2.
Chandra, Vidhi, Le Li, Yu Zhang, et al.. (2023). Gut epithelial Interleukin-17 receptor A signaling can modulate distant tumors growth through microbial regulation. Cancer Cell. 42(1). 85–100.e6. 32 indexed citations
3.
Chandra, Vidhi, Seyda Baydogan, Javier A. Gomez, et al.. (2023). Abstract 5918: Interrogating host-intratumoral microbial interactions in pancreatic cancer. Cancer Research. 83(7_Supplement). 5918–5918. 1 indexed citations
4.
Baydogan, Seyda, et al.. (2023). Transient CA19-9 Elevation Post-COVID-19 Vaccine and Infection: A Case Series. SHILAP Revista de lepidopterología. 2(7). 946–947.
5.
Baydogan, Seyda, et al.. (2023). Bacterial and fungal characterization of pancreatic adenocarcinoma from Endoscopic Ultrasound-guided biopsies. Frontiers in Immunology. 14. 1268376–1268376. 2 indexed citations
6.
Baydogan, Seyda, Parul Agarwal, Dan Laheru, et al.. (2023). Prevalence of germline variants in patients with pancreatic neuroendocrine tumors.. Journal of Clinical Oncology. 41(16_suppl). 4135–4135. 1 indexed citations
7.
Baydogan, Seyda, Maria F. Montiel, Joseph F. Petrosino, et al.. (2023). Prospective characterization of oral and gut microbiome in a high-risk pancreatic cancer cohort.. Journal of Clinical Oncology. 41(4_suppl). 691–691. 3 indexed citations
8.
Baydogan, Seyda, Parul Agarwal, Dan Laheru, et al.. (2023). Germline testing identifies pathogenic/likely pathogenic variants in patients with pancreatic neuroendocrine tumors. Endocrine Abstracts. 1 indexed citations
9.
Kurz, Emma, Carolina Alcantara Hirsch, Tanner C. Dalton, et al.. (2022). Exercise-induced engagement of the IL-15/IL-15Rα axis promotes anti-tumor immunity in pancreatic cancer. Cancer Cell. 40(7). 720–737.e5. 146 indexed citations breakdown →
10.
Baydogan, Seyda, et al.. (2022). Implementation of a Video-based Remote Germline Testing for Individuals With Pancreatic Ductal Adenocarcinoma. Gastroenterology. 163(1). 316–318.e1. 1 indexed citations
11.
Rogers, Jane E., Wenli Dong, Laura R. Prakash, et al.. (2021). Antibiotic use influences outcomes in advanced pancreatic adenocarcinoma patients. Cancer Medicine. 10(15). 5041–5050. 55 indexed citations
12.
13.
Kanlikilicer, Pınar, Recep Bayraktar, Merve Denizli, et al.. (2018). Exosomal Mirna Confers Chemo Resistance Via Targeting Cav1/p-gp/M2-Type Macrophage Axis in Ovarian Cancer. SSRN Electronic Journal. 2 indexed citations
14.
Kanlikilicer, Pınar, Recep Bayraktar, Merve Denizli, et al.. (2018). Exosomal miRNA confers chemo resistance via targeting Cav1/p-gp/M2-type macrophage axis in ovarian cancer. EBioMedicine. 38. 100–112. 185 indexed citations
15.
16.
Verit, Fatma Ferda, et al.. (2015). Conservative Treatment of a Placenta Accreta Case: Partial Segmental Uterine Resection. International Journal of Women s Health and Reproduction Sciences. 4(2). 84–85. 1 indexed citations
17.
Tarakçı, Ela, İpek Yeldan, Seyda Baydogan, Şeref Olgar, & Özgür Kasapçopur. (2012). Efficacy of a land-based home exercise programme for patients with juvenile idiopathic arthritis: A randomized, controlled, single-blind study. Journal of Rehabilitation Medicine. 44(11). 962–967. 46 indexed citations

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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