Nolan Durr

504 total citations · 1 hit paper
5 papers, 368 citations indexed

About

Nolan Durr is a scholar working on Molecular Biology, Infectious Diseases and Electrochemistry. According to data from OpenAlex, Nolan Durr has authored 5 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Electrochemistry. Recurrent topics in Nolan Durr's work include Advanced biosensing and bioanalysis techniques (5 papers), Biosensors and Analytical Detection (2 papers) and Electrochemical Analysis and Applications (2 papers). Nolan Durr is often cited by papers focused on Advanced biosensing and bioanalysis techniques (5 papers), Biosensors and Analytical Detection (2 papers) and Electrochemical Analysis and Applications (2 papers). Nolan Durr collaborates with scholars based in United States and United Kingdom. Nolan Durr's co-authors include Sharma T. Sanjay, Pawan Jolly, Donald E. Ingber, Mohamed Yafia, Hani Sallum, Galit Alter, Joseph A. Paradiso, Pedro Estrela, David R. Walt and Devora Najjar and has published in prestigious journals such as Accounts of Chemical Research, Biosensors and Bioelectronics and Advanced Healthcare Materials.

In The Last Decade

Nolan Durr

5 papers receiving 365 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A lab-on-a-chip for the concurrent electrochemical detection of SARS-CoV-2 RNA and anti-SARS-CoV-2 antibodies in saliva and plasma

2022 196 citations Devora Najjar, Joshua Rainbow et al. Nature Biomedical Engineering profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nolan Durr United States	5	242	234	104	71	36	5	368
Payel Sen Canada	12	217 0.9×	188 0.8×	83 0.8×	78 1.1×	27 0.8×	21	373
Suchanat Boonkaew Thailand	8	257 1.1×	264 1.1×	66 0.6×	143 2.0×	53 1.5×	11	405
Duygu Beduk Türkiye	7	166 0.7×	232 1.0×	120 1.2×	92 1.3×	25 0.7×	8	335
Feijun Zhao China	9	172 0.7×	192 0.8×	52 0.5×	98 1.4×	39 1.1×	22	322
Marjon Zamani United States	9	198 0.8×	134 0.6×	43 0.4×	77 1.1×	47 1.3×	14	293
Hyungjun Jang South Korea	12	203 0.8×	207 0.9×	72 0.7×	65 0.9×	10 0.3×	16	339
Tamer AbdElFatah Canada	8	208 0.9×	217 0.9×	46 0.4×	43 0.6×	21 0.6×	14	327
Ewen O. Blair United Kingdom	13	234 1.0×	241 1.0×	95 0.9×	107 1.5×	76 2.1×	27	445
Simone Fortunati Italy	11	231 1.0×	199 0.9×	78 0.8×	127 1.8×	59 1.6×	25	395
Marina Ribeiro Batistuti Sawazaki Brazil	8	288 1.2×	160 0.7×	30 0.3×	109 1.5×	52 1.4×	13	375

Countries citing papers authored by Nolan Durr

Since Specialization

Citations

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

Fields of papers citing papers by Nolan Durr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nolan Durr

This figure shows the co-authorship network connecting the top 25 collaborators of Nolan Durr. A scholar is included among the top collaborators of Nolan Durr 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 Nolan Durr. Nolan Durr 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:

5 of 5 papers shown

1.

Sanjay, Sharma T., Nolan Durr, Pawan Jolly, & Donald E. Ingber. (2022). Rapid quantitation of SARS-CoV-2 antibodies in clinical samples with an electrochemical sensor. Biosensors and Bioelectronics. 223. 115037–115037. 18 indexed citations

2.

Najjar, Devora, Joshua Rainbow, Sharma T. Sanjay, et al.. (2022). A lab-on-a-chip for the concurrent electrochemical detection of SARS-CoV-2 RNA and anti-SARS-CoV-2 antibodies in saliva and plasma. Nature Biomedical Engineering. 6(8). 968–978. 196 indexed citations breakdown →

3.

Sanjay, Sharma T., et al.. (2022). Biofabrication of Multiplexed Electrochemical Immunosensors for Simultaneous Detection of Clinical Biomarkers in Complex Fluids. Advanced Healthcare Materials. 11(24). e2200589–e2200589. 22 indexed citations

4.

Sanjay, Sharma T., Nolan Durr, Mohamed Yafia, et al.. (2021). Ultrarapid Method for Coating Electrochemical Sensors with Antifouling Conductive Nanomaterials Enables Highly Sensitive Multiplexed Detection in Whole Blood. Advanced Healthcare Materials. 11(8). e2102244–e2102244. 41 indexed citations

5.

Sanjay, Sharma T., Pawan Jolly, Nolan Durr, Mohamed Yafia, & Donald E. Ingber. (2021). Enabling Multiplexed Electrochemical Detection of Biomarkers with High Sensitivity in Complex Biological Samples. Accounts of Chemical Research. 54(18). 3529–3539. 91 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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