Human Heredity

Top Research Topics at Human Heredity?

Human Heredity investigates studies in Genetics, Allele frequency, Gene, Allele and Population genetics. Polymorphism (computer science), Genetic linkage, Locus (genetics), Phenotype and Linkage disequilibrium are all subfields of Genetics research that were featured in it. The work tackled in Human Heredity goes beyond the discipline of Genetic linkage as it also encompasses Linkage (software).

The Linkage disequilibrium study featured in it draws parallels with the field of Genetic association. Human Heredity features Allele frequency research that overlaps with concepts in Genetic marker. It connects the study in Gene with the closely related area of Molecular biology.

Human Heredity focuses on Molecular biology as well as the interrelated topic of Biochemistry.

• Genetics (49.45%)
• Allele frequency (14.62%)
• Gene (11.17%)

What are the most cited papers published in the journal?

• A General Model for the Genetic Analysis of Pedigree Data (1342 citations)
• Testing association of statistically inferred haplotypes with discrete and continuous traits in samples of unrelated individuals. (635 citations)
• The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases (629 citations)

Research areas of the most cited articles at Human Heredity:

The journal publications are organized to address concerns in the fields of Genetics, Allele frequency, Allele, Linkage disequilibrium and Genetic association. The journal papers encompass presentations on Genetics, specifically Gene, Genetic linkage, Haplotype, Locus (genetics) and Genotype. In addition to Allele frequency research, the most cited publications aim to explore topics under Population genetics, Polymorphism (computer science), Restriction fragment length polymorphism and Genetic variation.

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

• Internal medicine
• Gene
• Mutation

The previous edition focused in particular on these issues:

Human Heredity was organized to reinforce research efforts on Genetics, Computational biology, Gene, Exome sequencing and Sanger sequencing. The journal focused on Genetics research but expanded to cover Hearing disorder. The research on Computational biology featured in Human Heredity combines topics in other fields like Sodium channel, Dravet syndrome, Gating, Brugada syndrome and Subcellular localization.

The journal holds forums on Gene that merges themes from other disciplines such as Auditory neuropathy, Hair cell, Cochlea and Mutation (genetic algorithm). Covariate, Test statistic, Linear regression and Regression are some topics wherein Exome sequencing research discussed in Human Heredity have an impact. The Sanger sequencing works featured in Human Heredity incorporate elements from Coding region, Glucose-6-phosphate dehydrogenase deficiency, Mutant and Exon.

The most cited articles from the last journal are:

• Multiple Linear Regression Allows Weighted Burden Analysis of Rare Coding Variants in an Ethnically Heterogeneous Population. (12 citations)
• Molecular Characterization of Glucose-6-Phosphate Dehydrogenase Deficiency in the Shenzhen Population. (2 citations)
• Challenges of Adjusting Single-Nucleotide Polymorphism Effect Sizes for Linkage Disequilibrium. (1 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 Human Heredity (based on the number of publications) are:

• Lars Beckman (63 papers) absent at the last edition,
• Jurg Ott (48 papers) absent at the last edition,
• Gunhild Beckman (47 papers) absent at the last edition,
• Robert C. Elston (44 papers) absent at the last edition,
• L. Beckman (37 papers) absent at the last 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 Human Heredity (based on the number of publications) are:

• Umeå University (54 papers) absent at the last edition,
• Columbia University (45 papers) absent at the last edition,
• National Institutes of Health (44 papers) absent at the last edition,
• Washington University in St. Louis (36 papers) absent at the last edition,
• Harvard University (33 papers) absent at the last 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, 27.27% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 0.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 37.50% of all publications and 62.50% 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.