Mikail Dogan

471 total citations
9 papers, 239 citations indexed

About

Mikail Dogan is a scholar working on Oncology, Infectious Diseases and Immunology. According to data from OpenAlex, Mikail Dogan has authored 9 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 3 papers in Infectious Diseases and 3 papers in Immunology. Recurrent topics in Mikail Dogan's work include CAR-T cell therapy research (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Immunotherapy and Immune Responses (2 papers). Mikail Dogan is often cited by papers focused on CAR-T cell therapy research (6 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Immunotherapy and Immune Responses (2 papers). Mikail Dogan collaborates with scholars based in United States and Türkiye. Mikail Dogan's co-authors include Lina Kozhaya, Derya Unutmaz, Lindsey Placek, Xin Chen, İbrahim T. Özbolat, Madhuri Dey, Myoung‐Hwan Kim, Raavi Gupta, Michael Kleinberg and Noah Merin and has published in prestigious journals such as The Journal of Immunology, Gastroenterology and Advanced Functional Materials.

In The Last Decade

Mikail Dogan

9 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mikail Dogan United States	7	107	94	65	62	33	9	239
Stephen D. O’Flanagan United States	8	111 1.0×	101 1.1×	183 2.8×	54 0.9×	89 2.7×	14	385
Isabel Vogler Germany	8	108 1.0×	116 1.2×	159 2.4×	32 0.5×	133 4.0×	13	328
Lindsey Placek United States	6	86 0.8×	69 0.7×	125 1.9×	13 0.2×	54 1.6×	9	253
Isadora T. Lape United States	7	80 0.7×	35 0.4×	63 1.0×	30 0.5×	88 2.7×	12	243
Lutz Gieselmann Germany	10	183 1.7×	28 0.3×	47 0.7×	40 0.6×	70 2.1×	15	284
Tara S. Abraham United States	5	60 0.6×	212 2.3×	115 1.8×	34 0.5×	58 1.8×	9	311
Mindy Nguyen United States	7	46 0.4×	25 0.3×	46 0.7×	25 0.4×	55 1.7×	10	202
Aleks Guvenel United Kingdom	6	77 0.7×	128 1.4×	160 2.5×	32 0.5×	87 2.6×	6	383
Rhonda Henley‐Smith United Kingdom	7	95 0.9×	116 1.2×	61 0.9×	43 0.7×	85 2.6×	8	287
Ali Rezvan United States	7	52 0.5×	46 0.5×	49 0.8×	25 0.4×	44 1.3×	9	157

Countries citing papers authored by Mikail Dogan

Since Specialization

Citations

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

Fields of papers citing papers by Mikail Dogan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mikail Dogan

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

All Works

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9 of 9 papers shown

Dogan, Mikail, et al.. (2022). Engineering Human MAIT Cells with Chimeric Antigen Receptors for Cancer Immunotherapy. The Journal of Immunology. 209(8). 1523–1531. 42 indexed citations

Dey, Madhuri, et al.. (2022). Biofabrication of 3D breast cancer models for dissecting the cytotoxic response of human T cells expressing engineered MAIT cell receptors. Biofabrication. 14(4). 44105–44105. 21 indexed citations

Dogan, Mikail, et al.. (2022). Targeting SARS‐CoV ‐2 infection through CAR‐T ‐like bispecific T cell engagers incorporating ACE2. Clinical & Translational Immunology. 11(10). e1421–e1421. 8 indexed citations

Dey, Madhuri, Myoung‐Hwan Kim, Mikail Dogan, et al.. (2022). Chemotherapeutics and CAR‐T Cell‐Based Immunotherapeutics Screening on a 3D Bioprinted Vascularized Breast Tumor Model. Advanced Functional Materials. 32(52). 36 indexed citations

Dey, Madhuri, et al.. (2022). Chemotherapeutics and CAR‐T Cell‐Based Immunotherapeutics Screening on a 3D Bioprinted Vascularized Breast Tumor Model (Adv. Funct. Mater. 52/2022). Advanced Functional Materials. 32(52). 2 indexed citations

Kozhaya, Lina, Mikail Dogan, Brittany Lapin, et al.. (2021). Antibody Responses to SARS-CoV-2 After Infection or Vaccination in Children and Young Adults With Inflammatory Bowel Disease. Inflammatory Bowel Diseases. 28(7). 1019–1026. 31 indexed citations

Dogan, Mikail, Lina Kozhaya, Lindsey Placek, et al.. (2021). SARS-CoV-2 specific antibody and neutralization assays reveal the wide range of the humoral immune response to virus. Communications Biology. 4(1). 129–129. 75 indexed citations

Hyams, Jeffrey S., Michael Brimacombe, Brittany Lapin, et al.. (2021). 731 FAILURE TO DEVELOP NEUTRALIZING ANTIBODIES FOLLOWING SARS-COV-2 INFECTION IN YOUNG PATIENTS WITH INFLAMMATORY BOWEL DISEASE RECEIVING BIOLOGICS. Gastroenterology. 160(6). S–146. 1 indexed citations

Chen, Xin, Lina Kozhaya, Cihan Taştan, et al.. (2018). Functional Interrogation of Primary Human T Cells via CRISPR Genetic Editing. The Journal of Immunology. 201(5). 1586–1598. 23 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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