Lab on a Chip

Top Research Topics at Lab on a Chip?

The main research concerns discussed in the journal are Microfluidics, Nanotechnology, Analytical chemistry, Biomedical engineering and Optoelectronics. In it, Fluidics, Volumetric flow rate, Chip, Microchannel and Chromatography are investigated in conjunction with one another to address concerns in Microfluidics research. Polydimethylsiloxane is the primary subject of Nanotechnology works presented in the journal.

• Microfluidics (46.71%)
• Nanotechnology (34.74%)
• Analytical chemistry (11.30%)

What are the most cited papers published in the journal?

• Formation of droplets and bubbles in a microfluidic T-junction-scaling and mechanism of break-up. (1627 citations)
• Paper-based microfluidic point-of-care diagnostic devices (1350 citations)
• Electrowetting-based actuation of droplets for integrated microfluidics (1038 citations)

Research areas of the most cited articles at Lab on a Chip:

The most cited papers investigate studies in Microfluidics, Nanotechnology, Biomedical engineering, Analytical chemistry and Microchannel. Fluidics, Volumetric flow rate, Chip, Optoelectronics and Chromatography are some topics wherein Microfluidics research discussed in the most cited articles has an impact. The studies on Nanotechnology discussed at the published articles can also contribute to research in the domains of Microscale chemistry, Polymer and Microfabrication.

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

• Internal medicine
• Gene
• Enzyme

The previous edition focused in particular on these issues:

The journal primarily tackles Microfluidics, Nanotechnology, Biomedical engineering, Optoelectronics and Cell biology. The research on Microfluidics featured in it combines topics in other fields like Particle, Detection limit, Chip, Polymer and Microchannel. It connects research in Detection limit with the related topic of Biosensor.

Lab on a Chip explores research in Optoelectronics and the adjacent study of Electrode. Studies on Cell biology discussed in the journal link to the field of Cell.

The most cited articles from the last journal are:

• Vascularized organoids on a chip: strategies for engineering organoids with functional vasculature (25 citations)
• Point-of-care testing detection methods for COVID-19. (19 citations)
• High-throughput organ-on-chip platform with integrated programmable fluid flow and real-time sensing for complex tissue models in drug development workflows (17 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 Lab on a Chip (based on the number of publications) are:

• Tony Jun Huang (74 papers) published 1 paper at the last edition, 12 less than at the previous edition,
• Albert van den Berg (69 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• David A. Weitz (68 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• David J. Beebe (66 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Dino Di Carlo (55 papers) published 2 papers at the last edition the same number as 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 Lab on a Chip (based on the number of publications) are:

• Massachusetts Institute of Technology (269 papers) published 6 papers at the last edition the same number as at the previous edition,
• Harvard University (247 papers) published 4 papers at the last edition, 4 less than at the previous edition,
• University of California, Los Angeles (160 papers) published 9 papers at the last edition the same number as at the previous edition,
• École Polytechnique Fédérale de Lausanne (149 papers) published 5 papers at the last edition, 6 less than at the previous edition,
• Chinese Academy of Sciences (139 papers) published 15 papers at the last edition, 4 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, 3.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 17.98% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.67% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.89% of all publications and 56.46% 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.