Robert Jakob

2.6k total citations · 1 hit paper
33 papers, 1.1k citations indexed

About

Robert Jakob is a scholar working on Health Information Management, Epidemiology and Molecular Biology. According to data from OpenAlex, Robert Jakob has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Health Information Management, 8 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in Robert Jakob's work include Medical Coding and Health Information (14 papers), Chronic Disease Management Strategies (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Robert Jakob is often cited by papers focused on Medical Coding and Health Information (14 papers), Chronic Disease Management Strategies (6 papers) and Biomedical Text Mining and Ontologies (4 papers). Robert Jakob collaborates with scholars based in Switzerland, United States and Australia. Robert Jakob's co-authors include Christopher G. Chute, Stefanie Weber, James Harrison, Peter Byass, Philip Setel, Erin Nichols, Heather Sherman, M Virtanen, W. B. Runciman and Martin Fletcher and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Virology and Pain.

In The Last Decade

Robert Jakob

31 papers receiving 1.1k citations

Hit Papers

ICD-11: an international classification of diseases for t... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert Jakob Switzerland 14 217 216 168 158 152 33 1.1k
Stephen M. Borowitz United States 27 118 0.5× 86 0.4× 135 0.8× 140 0.9× 351 2.3× 90 2.3k
Judith W. Dexheimer United States 18 150 0.7× 179 0.8× 67 0.4× 70 0.4× 251 1.7× 75 1.0k
Tanja Perry United States 10 118 0.5× 206 1.0× 116 0.7× 67 0.4× 186 1.2× 18 913
Ingrid Larsson Sweden 20 101 0.5× 94 0.4× 76 0.5× 110 0.7× 254 1.7× 107 1.8k
Susan Lin United States 23 244 1.1× 52 0.2× 86 0.5× 45 0.3× 528 3.5× 51 1.8k
Stephen M. Downs United States 29 397 1.8× 367 1.7× 157 0.9× 509 3.2× 649 4.3× 108 2.4k
Peter Gordon United States 23 338 1.6× 67 0.3× 64 0.4× 46 0.3× 261 1.7× 121 2.2k
Hamid Reza Khalkhali Iran 22 189 0.9× 29 0.1× 59 0.4× 112 0.7× 262 1.7× 196 1.8k
Joseph F. Waeckerle United States 23 412 1.9× 46 0.2× 168 1.0× 56 0.4× 184 1.2× 58 1.8k
James M. Gill United States 21 333 1.5× 71 0.3× 71 0.4× 74 0.5× 792 5.2× 60 1.7k

Countries citing papers authored by Robert Jakob

Since Specialization
Citations

This map shows the geographic impact of Robert Jakob's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert Jakob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Jakob more than expected).

Fields of papers citing papers by Robert Jakob

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Jakob. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert Jakob. The network helps show where Robert Jakob may publish in the future.

Co-authorship network of co-authors of Robert Jakob

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Jakob. A scholar is included among the top collaborators of Robert Jakob based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Robert Jakob. Robert Jakob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Meng, et al.. (2024). Advancing nutritional disorder classification: unleashing the impact of ICD-11 on clinical practice and public health. British Journal Of Nutrition. 133(1). 11–12. 1 indexed citations
2.
Tu, Samson W., Ann‐Helene Almborg, Andrea Martinuzzi, et al.. (2024). Linking Health Terminologies: A Unified Approach to the WHO Family of International Classifications. Studies in health technology and informatics. 316. 1333–1337.
3.
Ulaeto, David, А. В. Агафонов, Lisa Carter, et al.. (2023). New nomenclature for mpox (monkeypox) and monkeypox virus clades. The Lancet Infectious Diseases. 23(3). 273–275. 69 indexed citations
4.
Tamrat, Tigest, María Barreix, Nenad Kostanjsek, et al.. (2023). Experiences in aligning WHO SMART guidelines to classification and terminology standards. BMJ Health & Care Informatics. 30(1). e100691–e100691. 2 indexed citations
5.
Harrison, James, Stefanie Weber, Robert Jakob, & Christopher G. Chute. (2021). ICD-11: an international classification of diseases for the twenty-first century. BMC Medical Informatics and Decision Making. 21(S6). 206–206. 249 indexed citations breakdown →
6.
Mehl, Garrett, Özge Tunçalp, María Barreix, et al.. (2021). WHO SMART guidelines: optimising country-level use of guideline recommendations in the digital age. The Lancet Digital Health. 3(4). e213–e216. 42 indexed citations
7.
White, Jonathan M. L., Harvey Lui, Christopher G. Chute, Robert Jakob, & R.J.G. Chalmers. (2021). The WHO ICD-11 Classification of Dermatological Diseases: a new comprehensive online skin disease taxonomy designed by and for dermatologists. British Journal of Dermatology. 186(1). 178–179. 4 indexed citations
9.
Tu, Samson W., Csongor Nyulas, Tania Tudorache, et al.. (2020). Toward a Harmonized WHO Family of International Classifications Content Model. Studies in health technology and informatics. 270. 1409–1410. 6 indexed citations
10.
Jakob, Robert. (2018). ICD-11 – Anpassung der ICD an das 21. Jahrhundert. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 61(7). 771–777. 25 indexed citations
11.
Nichols, Erin, Peter Byass, Daniel Chandramohan, et al.. (2018). The WHO 2016 verbal autopsy instrument: An international standard suitable for automated analysis by InterVA, InSilicoVA, and Tariff 2.0. PLoS Medicine. 15(1). e1002486–e1002486. 102 indexed citations
12.
Jetté, Nathalie, Hude Quan, Brenda R. Hemmelgarn, et al.. (2010). The Development, Evolution, and Modifications of ICD-10. Medical Care. 48(12). 1105–1110. 113 indexed citations
13.
Jakob, Robert, et al.. (2007). The WHO Family of International Classifications. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz. 50(7). 924–931. 40 indexed citations
14.
Jakob, Robert & Dieter J. Vonderschmitt. (1996). Development of a user‐oriented completelyopen in vitro diagnostics system. Journal of Analytical Methods in Chemistry. 18(1). 1–5.
15.
Jakob, Robert. (1995). Electroporation-Mediated Delivery of Nucleolar Targeting Sequences from Semliki Forest Virus Nucleocapsid Protein. Preparative Biochemistry. 25(3). 99–117. 4 indexed citations
16.
Jakob, Robert. (1994). Nucleolar accumulation of Semliki Forest virus nucleocapsid C protein: influence of metabolic status, cytoskeleton and receptors. Journal of Medical Microbiology. 40(6). 389–392. 8 indexed citations
17.
Jakob, Robert. (1993). Nucleolar accumulation of core protein in cells naturally infected with Semliki Forest virus. Virus Research. 30(2). 145–160. 7 indexed citations
19.
Jakob, Robert. (1992). Purifying Nuclei. Preparative Biochemistry. 22(1). 1–9. 1 indexed citations
20.
Ballmer, F.T. & Robert Jakob. (1989). [Hanggliding accidents. Distribution of injuries and accident analysis].. PubMed. 37(4). 247–9. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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