| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Chemistry | 529 | 22 | 47 | 15 |
| Computer Science | 617 | 20 | 34 | 9 |
| Biology and Biochemistry | 626 | 11 | 18 | 9 |
The objective of Molecular Informatics is to combine knowledge in the areas of Quantitative structure–activity relationship, Computational biology, Artificial intelligence, Virtual screening and Data mining. The concepts on Quantitative structure–activity relationship presented in it can also apply to other research fields, including Computational chemistry, Cheminformatics and Biological system. The journal features Cheminformatics research that overlaps with concepts in Data science.
The studies on Computational biology discussed can also contribute to research in the domains of In silico and Bioinformatics. The journal explores issues in Artificial intelligence which can be linked to other research areas like Machine learning and Pattern recognition. Molecular Informatics explores topics in Virtual screening which can be helpful for research in disciplines like Pharmacophore, Combinatorial chemistry and Drug discovery.
Topics in Data mining explored in it were investigated in conjunction with research in Similarity (network science) and Set (abstract data type). Studies on Docking (molecular) tackled in Molecular Informatics are critical in grasping new concepts in the fields of Stereochemistry and Biochemistry. The Stereochemistry study tackled is a key component of adjacent topics in the area of Molecule.
The most cited publications mainly tackle studies in Artificial intelligence, Quantitative structure–activity relationship, Data mining, Cheminformatics and Drug discovery. The published articles explore issues in Artificial intelligence which can be linked to other research areas like Machine learning and Pattern recognition. The most cited publications deal with Drug discovery in conjunction with Virtual screening and similar fields in Pharmacophore, Computational biology and Combinatorial chemistry.
The journal investigates areas of study like Computational biology, Virtual screening, Quantitative structure–activity relationship, Artificial intelligence and Drug discovery. The studies in Computational biology featured incorporate elements of Antibiotics, Drug repositioning, Protein structure, In silico and Ic50 values. The journal focused on Virtual screening research conducted under the discipline of Docking (molecular).
It facilitates discussions on Quantitative structure–activity relationship that incorporate concepts from other fields like Conformational isomerism, Biological system and Cheminformatics. Most of the works presented in Molecular Informatics deals with Artificial intelligence but it intersects with the subject of Machine learning. The research on Drug discovery tackled can also make contributions to studies in the areas of False positive paradox, Protease, Protein–protein interaction and Ligand (biochemistry).
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.
The top authors publishing in Molecular Informatics (based on the number of publications) are:
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.
Only papers with recognized affiliations are considered
The top affiliations publishing in Molecular Informatics (based on the number of publications) are:
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.
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, 7.69% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.75% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.42% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 22.92% of all publications and 47.92% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Notably, the extensive research in Molecular Informatics not only contribute to the academic and scientific communities. It also opens up a broad range of potential career opportunities. Professionals with expertise in this field can potentially become Computational Biologists, Data Scientists, AI researchers, and much more. One such growing career path is becoming an English teacher who could effectively communicate scientific terminologies and concepts to the English-speaking scientific community. Learn how to become an english teacher in nebraska and how a background in Molecular Informatics can enrich the teaching experience for both teachers and students alike.
It highlights the potential for those interested in pursuing a career as educators specialized in imparting scientific knowledge in Molecular Informatics. This approach ensures a comprehensive understanding of the subject, with a focus on guiding students through the intricacies of Molecular Informatics and its significant contribution to various research fields.
Furthermore, the multi-disciplinary nature of Molecular Informatics research opens avenues for cross-industry collaborations and job opportunities. Be it in pharmaceuticals, artificial intelligence, or bioinformatics, professionals with a background in Molecular Informatics are well-equipped to contribute actively to these diverse sectors.
Vinicius M. Alves;Tesia Bobrowski;Cleber C. Melo-Filho;Daniel Korn
(2021)Thomas Seidel;Oliver Wieder;Arthur Garon;Thierry Langer
(2020)Conrad V. Simoben;Ammar Qaseem;Aurélien F. A. Moumbock;Kiran K. Telukunta
(2020)Pablo Andrei Nogara;Folorunsho Bright Omage;Gustavo Roni Bolzan;Cássia Pereira Delgado
(2021)Exploring Computer Science in the USA opens doors to various specialized online degree programs tailored to evolving tech careers. For those interested in foundational engineering skills, an online engineer degree offers affordable and flexible options that prepare students for diverse tech roles.
Game enthusiasts can enhance their creative and technical expertise through a game design online masters. This pathway merges programming knowledge with artistic design, meeting the growing demand in entertainment industries.
The rising threats in the digital world have made cybersecurity a critical field. Pursuing a cyber security degree equips learners with skills to protect information systems, creating promising job opportunities in both public and private sectors.
Additionally, mastering data analytics through top data science programs helps students leverage big data for strategic decision-making. This rapidly growing area offers strong career potential across industries like finance, healthcare, and technology.
