David Bolin
- Immunology top 5%
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 10
-
- Neuropeptides and Animal Physiology 9
- Microbiology top 5%
- Environmental Engineering top 5%
- Soil Geostatistics and Mapping 23
- Statistics and Probability top 2%
- Statistical Methods and Bayesian Inference 11
- Statistical Methods and Inference 9
-
- Chemical Synthesis and Analysis 13
-
- Monoclonal and Polyclonal Antibodies Research 11
- Co-authors
- Finn LindgrenFrancesco SinigagliaJacqueline HigelinHåvard RueKhaled TolbaBéla TakácsJuergen HammerP Valsasnini
- Journals
- Journal of Computational and Graphical Statistics (6 papers)Journal of the American Chemical Society (4 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)
- Partner nations
- United StatesSwedenSaudi Arabia
In The Last Decade
David Bolin
100 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 160
- Immunology 640
- Cellular and Molecular Neuroscience 423
- Microbiology 141
- Environmental Engineering 278
- Statistics and Probability 135
Countries citing papers authored by David Bolin
This map shows the geographic impact of David Bolin'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 David Bolin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Bolin more than expected).
Fields of papers citing papers by David Bolin
This network shows the impact of papers produced by David Bolin. 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 David Bolin. The network helps show where David Bolin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Bolin, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 4 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 59 | |
| 7 | 2021 | 2 | |
| 8 | 2019 | 32 | |
| 9 | The SPDE approach for Gaussian random fields with general smoothness | 2017 | 2 |
| 10 | 2013 | 30 | |
| 11 | Spatial wavelet Markov models are more efficient than covariance tapering and process convolutions | 2011 | 3 |
| 12 | 1999 | 49 | |
| 13 | 1996 | 15 | |
| 14 | 1996 | 2 | |
| 15 | 1995 | 10 | |
| 16 | 1995 | 10 | |
| 17 | 1995 | 10 | |
| 18 | 1994 | 46 | |
| 19 | 1993 | 16 | |
| 20 | Degradation of vasoactive intestinal peptide in bronchial alveolar lavage fluid | 1992 | 6 |
About David Bolin
David Bolin is a scholar working on Statistics and Probability, Environmental Engineering, Horticulture, Immunology and Radiology, Nuclear Medicine and Imaging, having authored 105 papers that have together received 2.8k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (23 papers), Chemical Synthesis and Analysis (13 papers), T-cell and B-cell Immunology (11 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Statistical Methods and Bayesian Inference (11 papers), Immunotherapy and Immune Responses (10 papers), Neuropeptides and Animal Physiology (9 papers) and Statistical Methods and Inference (9 papers). The work is most often cited by research in Immunology (640 citations), Cellular and Molecular Neuroscience (423 citations), Microbiology (141 citations), Environmental Engineering (278 citations) and Statistics and Probability (135 citations). David Bolin has collaborated with scholars based in United States, Sweden and Saudi Arabia. Frequent co-authors include Finn Lindgren, Francesco Sinigaglia, Jacqueline Higelin, Håvard Rue, Khaled Tolba, Béla Takács, Juergen Hammer, P Valsasnini, Jonas Wallin and Gary L. Olson. Their work appears in journals such as Journal of Computational and Graphical Statistics, Journal of the American Chemical Society, Bioorganic & Medicinal Chemistry Letters, Computational Statistics & Data Analysis and European Journal of Immunology.
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.