Science China Life Sciences

Top Research Topics at Science China-life Sciences?

The journal explores disciplines such as Genetics, Gene, Cell biology, Molecular biology and Biochemistry. The main emphasis of it is the research on Genetics, emphasizing the topic of Genome. The research on Genome discussed in it draws on the closely related field of Computational biology.

Gene expression and Mutant are among the areas of Gene tackled. Many of the studies tackled connect Molecular biology with a similar field of study like Complementary DNA.

• Genetics (15.30%)
• Gene (15.22%)
• Cell biology (13.75%)

What are the most cited papers published in the journal?

• Evolution of the novel coronavirus from the ongoing Wuhan outbreak and modeling of its spike protein for risk of human transmission (1143 citations)
• Clinical and biochemical indexes from 2019-nCoV infected patients linked to viral loads and lung injury. (1056 citations)
• Clinical characteristics of 24 asymptomatic infections with COVID-19 screened among close contacts in Nanjing, China. (835 citations)

Research areas of the most cited articles at Science China-life Sciences:

Genetics, Gene, Cell biology, Virology and Biochemistry are the main subjects of interest in the most cited publications. The journal papers focus on Genetics research which is adjacent to topics in Computational biology. The most cited articles link adjacent topics like Gene with Molecular biology.

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

• Gene
• Enzyme
• Internal medicine

The previous edition focused in particular on these issues:

The main research concerns discussed in the journal are Cell biology, Gene, Computational biology, Internal medicine and Genetics. Topics in Cell biology explored in Science China-life Sciences were investigated in conjunction with research in Transcriptome and Transcription factor. Transcriptome and Cell are closely related fields of research discussed in the journal.

Phenotype, Mutant and CRISPR are all subfields of Gene research that were featured in it. The study on Computational biology presented is investigated in conjunction with research in Genome. In addition to Internal medicine research, it aims to explore topics under Gastroenterology and Oncology.

The most cited articles from the last journal are:

• Understanding the Global Cancer Statistics 2018: implications for cancer control (49 citations)
• Comparative study on virus shedding patterns in nasopharyngeal and fecal specimens of COVID-19 patients. (45 citations)
• Decline of SARS-CoV-2-specific IgG, IgM and IgA in convalescent COVID-19 patients within 100 days after hospital discharge. (14 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 Science China-life Sciences (based on the number of publications) are:

• George F. Gao (28 papers) published 2 papers at the last edition, 1 more than at the previous edition,
• Ning Li (23 papers) absent at the last edition,
• Tieliu Shi (20 papers) published 3 papers at the last edition,
• Qi Jin (20 papers) published 1 paper at the last edition the same number as at the previous edition,
• Xiao-Jun Huang (20 papers) published 2 papers at the last edition, 5 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 Science China-life Sciences (based on the number of publications) are:

• Chinese Academy of Sciences (1098 papers) published 83 papers at the last edition, 21 more than at the previous edition,
• Peking University (334 papers) published 29 papers at the last edition, 1 less than at the previous edition,
• Peking Union Medical College (214 papers) published 20 papers at the last edition, 3 more than at the previous edition,
• Fudan University (114 papers) published 6 papers at the last edition, 1 more than at the previous edition,
• Tsinghua University (109 papers) published 7 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, 1.57% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 62.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.60% of all publications and 18.40% 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.