Gregory E. Otteson

485 total citations
21 papers, 202 citations indexed

About

Gregory E. Otteson is a scholar working on Immunology, Genetics and Hematology. According to data from OpenAlex, Gregory E. Otteson has authored 21 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Genetics and 6 papers in Hematology. Recurrent topics in Gregory E. Otteson's work include Single-cell and spatial transcriptomics (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Cutaneous lymphoproliferative disorders research (5 papers). Gregory E. Otteson is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Cutaneous lymphoproliferative disorders research (5 papers). Gregory E. Otteson collaborates with scholars based in United States, Canada and Germany. Gregory E. Otteson's co-authors include Horatiu Olteanu, Min Shi, Dragan Jevremović, Pedro Horna, Michael Timm, Jansen N. Seheult, Mohamed E. Salama, Jon J. Camp, David R. Holmes and Yuan Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Human Pathology.

In The Last Decade

Gregory E. Otteson

16 papers receiving 201 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregory E. Otteson United States	8	110	80	67	67	42	21	202
Elsa Poullot France	9	134 1.2×	29 0.4×	87 1.3×	73 1.1×	51 1.2×	27	231
Marie-Hélène Delfau France	7	150 1.4×	65 0.8×	114 1.7×	51 0.8×	56 1.3×	14	213
Kseniya Petrova‐Drus United States	7	80 0.7×	25 0.3×	54 0.8×	31 0.5×	43 1.0×	20	183
Edgardo R. Parrilla Castellar United States	6	110 1.0×	44 0.6×	93 1.4×	41 0.6×	24 0.6×	9	257
Youngil Koh South Korea	8	209 1.9×	37 0.5×	155 2.3×	110 1.6×	29 0.7×	19	274
Cecilia Caprera Italy	9	75 0.7×	16 0.2×	102 1.5×	42 0.6×	29 0.7×	21	213
Emanuela Anna Pesce Italy	6	257 2.3×	63 0.8×	169 2.5×	69 1.0×	66 1.6×	12	287
Laura Cereceda Spain	6	132 1.2×	24 0.3×	57 0.9×	48 0.7×	62 1.5×	17	179
Hernan Molina‐Kirsch United States	7	205 1.9×	44 0.6×	214 3.2×	142 2.1×	27 0.6×	8	292
George Kanellis Greece	7	123 1.1×	14 0.2×	69 1.0×	43 0.6×	83 2.0×	18	214

Countries citing papers authored by Gregory E. Otteson

Since Specialization

Citations

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

Fields of papers citing papers by Gregory E. Otteson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory E. Otteson. 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 Gregory E. Otteson. The network helps show where Gregory E. Otteson may publish in the future.

Co-authorship network of co-authors of Gregory E. Otteson

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

All Works

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20 of 20 papers shown

Otteson, Gregory E., Michael Timm, Min Shi, et al.. (2025). Measurable Residual Disease Analysis by Flow Cytometry: Assay Validation and Characterization of 385 Consecutive Cases of Acute Myeloid Leukemia. Cancers. 17(7). 1155–1155.

Seheult, Jansen N., Gregory E. Otteson, Michael Timm, et al.. (2025). Clinical Validation and Post-Implementation Performance Monitoring of a Neural Network-Assisted Approach for Detecting Chronic Lymphocytic Leukemia Minimal Residual Disease by Flow Cytometry. Cancers. 17(10). 1688–1688. 2 indexed citations

Johnson, Emma F., Thomas E. Witzig, Nneka I. Comfere, et al.. (2025). T-cell lymphoproliferative disorder with a STAT3 mutation causing a lymphocytic variant of hypereosinophilic-like syndrome without eosinophilia. Journal of Hematopathology. 18(1). 6–6.

Seheult, Jansen N., Gregory E. Otteson, Michael Timm, et al.. (2025). Artificial intelligence accelerates the interpretation of measurable residual B lymphoblastic leukemia by flow cytometry. Blood Advances. 10(1). 58–69.

Horna, Pedro, Mathieu Ferrari, Gregory E. Otteson, et al.. (2024). Dual T-cell constant β chain (TRBC)1 and TRBC2 staining for the identification of T-cell neoplasms by flow cytometry. Blood Cancer Journal. 14(1). 34–34. 13 indexed citations

Zanwar, Saurabh, Dragan Jevremović, Horatiu Olteanu, et al.. (2024). A Comparative Study of Plasma Cell Detection By Peripheral Smear and Peripheral Blood Flow Cytometry. Blood. 144(Supplement 1). 3319–3319.

Chiu, April, Jansen N. Seheult, Min Shi, et al.. (2024). Artificial Intelligence-Enhancement of Flow Cytometry Data Accelerates the Identification of Minimal Residual Chronic Lymphocytic Leukemia. Blood. 144(Supplement 1). 1858–1858. 1 indexed citations

Seheult, Jansen N., Gregory E. Otteson, Dragan Jevremović, et al.. (2023). Establishing NK-Cell Receptor Restriction by Flow Cytometry and Detecting Potential NK-Cell Clones of Uncertain Significance. Modern Pathology. 36(8). 100255–100255. 5 indexed citations

Seheult, Jansen N., Min Shi, Horatiu Olteanu, et al.. (2023). Machine Learning Enhancement of Flow Cytometry Data Accelerates the Identification of Minimal Residual Acute Myeloid Leukemia. Blood. 142(Supplement 1). 4339–4339. 2 indexed citations

10.

Roden, Anja C., Christopher Hartley, Jess F. Peterson, et al.. (2023). Dedifferentiation of B-lymphoblastic leukemia/lymphoma with t(9;22) BCR::ABL1 to an undifferentiated neoplasm with strong keratin expression in a patient receiving blinatumomab. SHILAP Revista de lepidopterología. 31. 300688–300688.

11.

Horna, Pedro, Gregory E. Otteson, Min Shi, et al.. (2022). Improved semiautomated detection of TRBC-restricted Sézary cells unveils a spectrum of clonal cluster immunophenotypes. Blood. 140(26). 2852–2856. 5 indexed citations

12.

Salama, Mohamed E., Gregory E. Otteson, Jon J. Camp, et al.. (2022). Artificial Intelligence Enhances Diagnostic Flow Cytometry Workflow in the Detection of Minimal Residual Disease of Chronic Lymphocytic Leukemia. Cancers. 14(10). 2537–2537. 27 indexed citations

13.

Horna, Pedro, Gregory E. Otteson, Min Shi, et al.. (2021). Flow Cytometric Evaluation of Surface and Cytoplasmic TRBC1 Expression in the Differential Diagnosis of Immature T-Cell Proliferations. American Journal of Clinical Pathology. 157(1). 64–72. 13 indexed citations

14.

Jevremović, Dragan, Kaaren K. Reichard, Phuong L. Nguyen, et al.. (2021). CD2 and CD7 are sensitive flow cytometry screening markers for T-lineage acute leukemia(s): a study of 465 acute leukemia cases. Human Pathology. 114. 66–73. 3 indexed citations

15.

Shi, Min, Phuong L. Nguyen, Michael Timm, et al.. (2020). Cytoplasmic Expression of CD3ε Heterodimers by Flow Cytometry Rapidly Distinguishes Between Mature T-Cell and Natural Killer–Cell Neoplasms. American Journal of Clinical Pathology. 154(5). 683–691. 7 indexed citations

16.

Horna, Pedro, Horatiu Olteanu, Dragan Jevremović, et al.. (2020). Single-Antibody Evaluation of T-Cell Receptor β Constant Chain Monotypia by Flow Cytometry Facilitates the Diagnosis of T-Cell Large Granular Lymphocytic Leukemia. American Journal of Clinical Pathology. 156(1). 139–148. 16 indexed citations

17.

Otteson, Gregory E., et al.. (2020). Flow cytometric evaluation of TRBC1 expression in tissue specimens and body fluids is a novel and specific method for assessment of T‐cell clonality and diagnosis of T‐cell neoplasms. Cytometry Part B Clinical Cytometry. 100(3). 361–369. 34 indexed citations

18.

Shi, Min, Karen L. Rech, Gregory E. Otteson, et al.. (2019). Prevalence and spectrum of T-cell lymphoproliferative disorders in patients with Hypereosinophilia: A reference laboratory experience. Annals of Diagnostic Pathology. 44. 151412–151412. 8 indexed citations

19.

Shi, Min, Dragan Jevremović, Gregory E. Otteson, et al.. (2019). Single Antibody Detection of T‐Cell Receptor αβ Clonality by Flow Cytometry Rapidly Identifies Mature T‐Cell Neoplasms and Monotypic Small CD8‐Positive Subsets of Uncertain Significance. Cytometry Part B Clinical Cytometry. 98(1). 99–107. 50 indexed citations

20.

Botero, Juliana Perez, Deepti Warad, Rong He, et al.. (2017). Comprehensive Platelet Phenotypic Laboratory Testing and Bleeding History Scoring for Diagnosis of Suspected Hereditary Platelet Disorders. American Journal of Clinical Pathology. 148(1). 23–32. 14 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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