K Malottki
Impact in
- Immunology top 10%
- Psoriasis: Treatment and Pathogenesis
- Biosimilars and Bioanalytical Methods
- Dermatology top 5%
- Dermatology and Skin Diseases
Papers in
-
- Health Systems, Economic Evaluations, Quality of Life 9
-
- Biosimilars and Bioanalytical Methods 3
- Psoriasis: Treatment and Pathogenesis 3
- Co-authors
- David Moore (4 shared papers)Lucinda Billingham (6 shared papers)Pelham Barton (2 shared papers)Yen‐Fu Chen (2 shared papers)A Fry-Smith (2 shared papers)Neil Steven (3 shared papers)Olalekan A. Uthman (3 shared papers)Laura Sawyer (3 shared papers)
- Journals
- Health Technology Assessment (4 papers)Trials (2 papers)BMJ Open (1 paper)Orphanet Journal of Rare Diseases (1 paper)PharmacoEconomics (1 paper)
- Partner nations
- United KingdomDenmarkSweden
In The Last Decade
K Malottki
17 papers receiving 703 citations
Peers
Comparison fields: 5 of 90
- Immunology 238
- Dermatology 99
- Rheumatology 166
- Hematology 77
- Psychiatry and Mental health 78
Countries citing papers authored by K Malottki
This map shows the geographic impact of K Malottki'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 K Malottki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K Malottki more than expected).
Fields of papers citing papers by K Malottki
This network shows the impact of papers produced by K Malottki. 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 K Malottki. The network helps show where K Malottki may publish in the future.
Co-authors
The 25 scholars most cited alongside K Malottki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 244 | |
| 2 | 2009 | 125 | |
| 3 | 2019 | 119 | |
| 4 | 2016 | 78 | |
| 5 | 2020 | 53 | |
| 6 | 2012 | 20 | |
| 7 | 2014 | 15 | |
| 8 | 2008 | 12 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 2010 | 10 | |
| 13 | 2010 | 9 | |
| 14 | 2022 | 5 | |
| 15 | 2024 | 2 | |
| 16 | 2011 | 2 | |
| 17 | 2015 | 1 |
About K Malottki
K Malottki is a scholar working on Economics and Econometrics, Immunology, Statistics and Probability, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 725 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (9 papers), Statistical Methods in Clinical Trials (4 papers), Biosimilars and Bioanalytical Methods (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Genomics and Rare Diseases (3 papers), Dermatology and Skin Diseases (2 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). The work is most often cited by research in Immunology (238 citations), Dermatology (99 citations), Rheumatology (166 citations), Hematology (77 citations) and Psychiatry and Mental health (78 citations). K Malottki has collaborated with scholars based in United Kingdom, Denmark and Sweden. Frequent co-authors include David Moore, Lucinda Billingham, Pelham Barton, Yen‐Fu Chen, A Fry-Smith, Neil Steven, Olalekan A. Uthman, Laura Sawyer, Martin Connock and Paresh Jobanputra. Their work appears in journals such as Health Technology Assessment, Trials, BMJ Open, Orphanet Journal of Rare Diseases and PharmacoEconomics.
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.