James Nichols

2.0k total citations
39 papers, 1.3k citations indexed

About

James Nichols is a scholar working on Genetics, Molecular Biology and Statistics, Probability and Uncertainty. According to data from OpenAlex, James Nichols has authored 39 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Molecular Biology and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in James Nichols's work include Hemoglobinopathies and Related Disorders (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Erythrocyte Function and Pathophysiology (5 papers). James Nichols is often cited by papers focused on Hemoglobinopathies and Related Disorders (8 papers), Probabilistic and Robust Engineering Design (7 papers) and Erythrocyte Function and Pathophysiology (5 papers). James Nichols collaborates with scholars based in United States, Australia and France. James Nichols's co-authors include Matthew A. B. Baker, Richard E. Kerber, Natesa G. Pandian, David J. Skorton, Stephen M. Collins, Frances Y. Kuo, Christopher N. Angstmann, B. I. Henry, Mark T. Gladwin and Maria Jison and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and Blood.

In The Last Decade

James Nichols

38 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
James Nichols United States	18	277	237	215	181	153	39	1.3k
Giulia Russo Italy	25	71 0.3×	169 0.7×	32 0.1×	315 1.7×	573 3.7×	113	1.9k
Michael J. Wilson United Kingdom	22	187 0.7×	29 0.1×	224 1.0×	73 0.4×	390 2.5×	62	2.0k
Mattias Ohlsson Sweden	31	86 0.3×	632 2.7×	93 0.4×	664 3.7×	528 3.5×	152	2.9k
Neil D. Evans United Kingdom	21	54 0.2×	44 0.2×	281 1.3×	44 0.2×	647 4.2×	97	1.5k
Martin Bøgsted Denmark	25	193 0.7×	248 1.0×	165 0.8×	57 0.3×	573 3.7×	161	2.3k
Hiroaki Saito Japan	25	60 0.2×	257 1.1×	224 1.0×	143 0.8×	194 1.3×	270	3.4k
H. Nakamura Japan	24	305 1.1×	474 2.0×	119 0.6×	19 0.1×	519 3.4×	137	2.3k
Vishnu Reddy United States	25	327 1.2×	114 0.5×	365 1.7×	209 1.2×	251 1.6×	137	2.4k
Paolo Barbini Italy	23	85 0.3×	76 0.3×	14 0.1×	147 0.8×	314 2.1×	95	1.8k

Countries citing papers authored by James Nichols

Since Specialization

Citations

This map shows the geographic impact of James Nichols'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 James Nichols with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Nichols more than expected).

Fields of papers citing papers by James Nichols

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Nichols. 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 James Nichols. The network helps show where James Nichols may publish in the future.

Co-authorship network of co-authors of James Nichols

This figure shows the co-authorship network connecting the top 25 collaborators of James Nichols. A scholar is included among the top collaborators of James Nichols 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 James Nichols. James Nichols is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Spence, Matthew A., et al.. (2025). Computational and Experimental Exploration of Protein Fitness Landscapes: Navigating Smooth and Rugged Terrains. Biochemistry. 64(8). 1673–1684. 3 indexed citations

Spence, Matthew A., et al.. (2025). Protein evolution as a complex system. Nature Chemical Biology. 21(9). 1293–1299. 1 indexed citations

Spence, Matthew A., Adam C. Mater, James Nichols, et al.. (2024). Leveraging ancestral sequence reconstruction for protein representation learning. Nature Machine Intelligence. 6(12). 1542–1555. 6 indexed citations

Cohen, Albert, Wolfgang Dahmen, Ronald DeVore, et al.. (2020). Optimal Reduced Model Algorithms for Data-Based State Estimation. SIAM Journal on Numerical Analysis. 58(6). 3355–3381. 13 indexed citations

Nichols, James, et al.. (2018). Machine learning: applications of artificial intelligence to imaging and diagnosis. Biophysical Reviews. 11(1). 111–118. 271 indexed citations

Vogel, Sebastian, Taruna Arora, Xunde Wang, et al.. (2018). The platelet NLRP3 inflammasome is upregulated in sickle cell disease via HMGB1/TLR4 and Bruton tyrosine kinase. Blood Advances. 2(20). 2672–2680. 63 indexed citations

Binev, Peter, Albert Cohen, Olga Mula, & James Nichols. (2018). Greedy Algorithms for Optimal Measurements Selection in State Estimation Using Reduced Models. SIAM/ASA Journal on Uncertainty Quantification. 6(3). 1101–1126. 23 indexed citations

Parrow, Nermi L., Pierre-Christian Violet, Hongbin Tu, et al.. (2018). Measuring Deformability and Red Cell Heterogeneity in Blood by Ektacytometry. Journal of Visualized Experiments. 42 indexed citations

Parrow, Nermi L., Hongbin Tu, James Nichols, et al.. (2017). Measurements of red cell deformability and hydration reflect HbF and HbA2 in blood from patients with sickle cell anemia. Blood Cells Molecules and Diseases. 65. 41–50. 20 indexed citations

10.

Wang, Xiaodong, Jing Liu, Weihe Zhang, et al.. (2016). Design and Synthesis of Novel Macrocyclic Mer Tyrosine Kinase Inhibitors. ACS Medicinal Chemistry Letters. 7(12). 1044–1049. 24 indexed citations

11.

Angstmann, Christopher N., I. C. Donnelly, B. I. Henry, et al.. (2015). From stochastic processes to numerical methods: A new scheme for solving reaction subdiffusion fractional partial differential equations. Journal of Computational Physics. 307. 508–534. 20 indexed citations

12.

Nichols, James & Frances Y. Kuo. (2014). Fast CBC construction of randomly shifted lattice rules achievingO(n−1+δ)convergence for unbounded integrands overRsin weighted spaces with POD weights. Journal of Complexity. 30(4). 444–468. 27 indexed citations

13.

Angstmann, Christopher N., I. C. Donnelly, B. I. Henry, & James Nichols. (2014). A discrete time random walk model for anomalous diffusion. Journal of Computational Physics. 293. 53–69. 16 indexed citations

14.

Graham, Ivan G., Frances Y. Kuo, James Nichols, et al.. (2013). Quasi-Monte Carlo finite element methods for elliptic PDEs with log-normal random coefficient. Repository for Publications and Research Data (ETH Zurich). 2013(14). 6 indexed citations

15.

Cabell, Christopher H., Susan E. Bates, Richard Piekarz, et al.. (2009). Systematic assessment of potential cardiac effects of the novel histone deacetylase (HDAC) inhibitor romidepsin. Journal of Clinical Oncology. 27(15_suppl). e19533–e19533. 9 indexed citations

16.

Anthi, Anastasia, Roberto F. Machado, Maria Jison, et al.. (2007). Hemodynamic and Functional Assessment of Patients with Sickle Cell Disease and Pulmonary Hypertension. American Journal of Respiratory and Critical Care Medicine. 175(12). 1272–1279. 194 indexed citations

17.

Moore, Michael S. & James Nichols. (2002). Model-based synthesis of a real-time image processing system. 262–265. 2 indexed citations

18.

Peters, Richard Alan & James Nichols. (1994). Morphological bandpass decomposition of images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2180. 163–163. 3 indexed citations

19.

Nichols, James, et al.. (1993). Taxol. Cancer Nursing. 16(6). 423???430–423???430. 2 indexed citations

20.

Collins, Steve M., David J. Skorton, Edward A. Geiser, et al.. (1984). Computer-assisted edge detection in two-dimensional echocardiography: Comparison with anatomic data. The American Journal of Cardiology. 53(9). 1380–1387. 54 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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