Cytometry Part A

Top Research Topics at Cytometry Part A?

The journal focuses on Flow cytometry, Cytometry, Molecular biology, Cell biology and Immunology. Flow cytometry research presented in Cytometry Part A encompasses a variety of subjects, including Cell culture, Biophysics, Staining, Fluorescence and Antibody. The journal focused on Fluorescence research conducted under the discipline of Optics.

In addition to Cytometry research, Cytometry Part A aims to explore topics under Computational biology, Biomedical engineering and Mass cytometry. While Molecular biology is the focus of the journal, it also provided insights into the studies of Propidium iodide and Antigen. Issues in Cell biology were discussed, taking into consideration concepts from other disciplines like Cell cycle and Apoptosis.

Cytometry Part A covers various topics on Immunology such as Immunophenotyping and Immune system.

• Flow cytometry (31.27%)
• Cytometry (29.06%)
• Molecular biology (20.58%)

What are the most cited papers published in the journal?

• Design and Validation of a Tool for Neurite Tracing and Analysis in Fluorescence Microscopy Images (1146 citations)
• Nuclear DNA content and genome size of trout and human. (812 citations)
• FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data. (608 citations)

Research areas of the most cited articles at Cytometry Part A:

The most cited articles focus on Flow cytometry, Molecular biology, Cytometry, Immunology and Cell biology. The journal publications mainly concentrate on Flow cytometry but also investigate its connection with concepts in disciplines such as

• Biochemistry most often made with reference to Staining,
• Bioinformatics and related Cluster analysis.. The most cited papers address concerns in the field of Cytometry by exploring it in line with topics in Microscopy which intersect with Fluorescence microscope subjects.

What topics the last edition of the journal is best known for?

• Gene
• Internal medicine
• Cancer

The previous edition focused in particular on these issues:

The aim of Cytometry Part A is to expand the discussion of research in Flow cytometry, Cytometry, Cell, Cell biology and Molecular biology. Immunophenotyping is a major topic of Flow cytometry research. The concepts on Cytometry presented in the journal can also apply to other research fields, including Mass cytometry, Biophysics, Microscopy, Stain and Cytotoxicity.

The journal dives deep in exploring the relationship between the study of Cell and Artificial intelligence. Cytometry Part A focuses on Cell biology as well as the interrelated topic of Viability assay. The tackled Molecular biology research is interrelated with T cell which concerns subjects like CD8.

The most cited articles from the last journal are:

• Evaluation of Exosome Proteins by on-Bead Flow Cytometry (12 citations)
• Real‐Time Stain‐Free Classification of Cancer Cells and Blood Cells Using Interferometric Phase Microscopy and Machine Learning (11 citations)
• Refractive index changes of cells and cellular compartments upon paraformaldehyde fixation acquired by tomographic phase microscopy (8 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Cytometry Part A (based on the number of publications) are:

• Attila Tárnok (141 papers) published 4 papers at the last edition the same number as at the previous edition,
• Zbigniew Darzynkiewicz (45 papers) absent at the last edition,
• Mario Roederer (45 papers) absent at the last edition,
• Attila Tárnok (29 papers) published 7 papers at the last edition, 2 less than at the previous edition,
• Henning Ulrich (29 papers) published 1 paper at the last edition, 3 less than at the previous edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Cytometry Part A (based on the number of publications) are:

• Leipzig University (181 papers) published 11 papers at the last edition, 3 less than at the previous edition,
• University of Debrecen (62 papers) published 3 papers at the last edition, 2 more than at the previous edition,
• National Institutes of Health (61 papers) published 6 papers at the last edition, 3 more than at the previous edition,
• Fraunhofer Society (54 papers) published 9 papers at the last edition, 2 less than at the previous edition,
• Vaccine Research Center (44 papers) published 1 paper at the last edition, 2 less than at the previous edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 6.83% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 19.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 19.33% of all publications and 53.33% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.