Nicholas P. Reder

1.9k total citations
34 papers, 1.0k citations indexed

About

Nicholas P. Reder is a scholar working on Molecular Biology, Biophysics and Biomedical Engineering. According to data from OpenAlex, Nicholas P. Reder has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Biophysics and 9 papers in Biomedical Engineering. Recurrent topics in Nicholas P. Reder's work include Molecular Biology Techniques and Applications (10 papers), Advanced Fluorescence Microscopy Techniques (8 papers) and AI in cancer detection (7 papers). Nicholas P. Reder is often cited by papers focused on Molecular Biology Techniques and Applications (10 papers), Advanced Fluorescence Microscopy Techniques (8 papers) and AI in cancer detection (7 papers). Nicholas P. Reder collaborates with scholars based in United States, Switzerland and Nigeria. Nicholas P. Reder's co-authors include Jonathan Liu, Adam K. Glaser, Lawrence D. True, Yu Wang, Ye Chen, Chengbo Yin, Linpeng Wei, Erin McCarty, Soyoung Kang and Weisi Xie and has published in prestigious journals such as Nature Communications, PLoS ONE and Cancer Research.

In The Last Decade

Nicholas P. Reder

34 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas P. Reder United States 16 470 407 275 157 137 34 1.0k
Farzad Fereidouni United States 16 461 1.0× 326 0.8× 272 1.0× 184 1.2× 52 0.4× 41 883
André Kajdacsy-Balla United States 17 607 1.3× 190 0.5× 257 0.9× 145 0.9× 35 0.3× 29 1.3k
Michael G. Giacomelli United States 21 399 0.8× 591 1.5× 213 0.8× 196 1.2× 49 0.4× 55 1.0k
Tom Collier United States 11 202 0.4× 459 1.1× 127 0.5× 205 1.3× 53 0.4× 23 740
Adam M. Zysk United States 17 419 0.9× 1.1k 2.8× 156 0.6× 549 3.5× 79 0.6× 37 1.5k
Yuanming Feng China 18 194 0.4× 234 0.6× 136 0.5× 273 1.7× 64 0.5× 93 864
Byeong Hyeon Choi South Korea 13 225 0.5× 429 1.1× 681 2.5× 80 0.5× 67 0.5× 33 1.2k
Kirk W. Gossage United States 9 290 0.6× 530 1.3× 121 0.4× 309 2.0× 35 0.3× 20 890
Linpeng Wei United States 11 324 0.7× 315 0.8× 137 0.5× 86 0.5× 57 0.4× 16 616
Todd Hollon United States 17 220 0.5× 158 0.4× 160 0.6× 141 0.9× 55 0.4× 53 866

Countries citing papers authored by Nicholas P. Reder

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas P. Reder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas P. Reder. 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 Nicholas P. Reder. The network helps show where Nicholas P. Reder may publish in the future.

Co-authorship network of co-authors of Nicholas P. Reder

This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas P. Reder. A scholar is included among the top collaborators of Nicholas P. Reder 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 Nicholas P. Reder. Nicholas P. Reder 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.
Wright, Jonathan L., Funda Vakar‐Lopez, Maria Tretiakova, et al.. (2024). Outcome Analysis of a Series of Mixed-Grade, Non-muscle Invasive, Papillary Carcinomas of the Bladder. International Journal of Surgical Pathology. 33(1). 19–25. 1 indexed citations
2.
Mo, George, Nicholas P. Reder, & Michael T. Schweizer. (2023). Evaluation of initial prostate cancer biopsies utilizing 3D open‐top light‐sheet microscopy for detection of early disease. The Prostate. 83(11). 1121–1124. 1 indexed citations
3.
Koyuncu, Can, Andrew Janowczyk, Xavier Farré, et al.. (2023). Visual Assessment of 2-Dimensional Levels Within 3-Dimensional Pathology Data Sets of Prostate Needle Biopsies Reveals Substantial Spatial Heterogeneity. Laboratory Investigation. 103(12). 100265–100265. 3 indexed citations
4.
Serafin, Robert, Can Koyuncu, Weisi Xie, et al.. (2023). Nondestructive 3D pathology with analysis of nuclear features for prostate cancer risk assessment. The Journal of Pathology. 260(4). 390–401. 13 indexed citations
5.
6.
Liu, Jonathan, Adam K. Glaser, Kaustav Bera, et al.. (2021). Harnessing non-destructive 3D pathology. Nature Biomedical Engineering. 5(3). 203–218. 87 indexed citations
7.
Ahn, Jihyun, Judith C. Hagedorn, Eric Q. Konnick, et al.. (2021). Two cases of aggressive sarcomatoid urothelial carcinoma reveal potential molecular targets. 5(8). 1 indexed citations
8.
9.
Xie, Weisi, Adam K. Glaser, Funda Vakar‐Lopez, et al.. (2020). Method development and feasibility assessment for diagnosing 12 needle cores within an hour of biopsy. TTh4B.4–TTh4B.4. 1 indexed citations
10.
Glaser, Adam K., Nicholas P. Reder, Ye Chen, et al.. (2019). Multi-immersion open-top light-sheet microscope for high-throughput imaging of cleared tissues. Nature Communications. 10(1). 2781–2781. 126 indexed citations
11.
Reder, Nicholas P., Lindsay Alpert, Lisa Koch, et al.. (2019). Utility of glutamine synthetase immunohistochemistry in identifying features of regressed cirrhosis. Modern Pathology. 33(3). 448–455. 7 indexed citations
12.
Chen, Ye, Weisi Xie, Adam K. Glaser, et al.. (2019). Rapid Pathology of Lumpectomy Margins with Open-Top Light-Sheet (OTLS) Microscopy. 138. JT4A.54–JT4A.54. 1 indexed citations
13.
Henriksen, Jonathan C., Anthony E. Rizzardi, Jin Jin, et al.. (2019). Signature maps for automatic identification of prostate cancer from colorimetric analysis of H&E- and IHC-stained histopathological specimens. Scientific Reports. 9(1). 6992–6992. 8 indexed citations
14.
Reder, Nicholas P., Adam K. Glaser, Erin McCarty, et al.. (2019). Open-Top Light-Sheet Microscopy Image Atlas of Prostate Core Needle Biopsies. Archives of Pathology & Laboratory Medicine. 143(9). 1069–1075. 36 indexed citations
15.
16.
Xie, Weisi, Ye Chen, Yu Wang, et al.. (2019). Microscopy with ultraviolet surface excitation for wide-area pathology of breast surgical margins. Journal of Biomedical Optics. 24(2). 1–1. 39 indexed citations
17.
Wang, Yu, Nicholas P. Reder, Soyoung Kang, et al.. (2017). Raman-Encoded Molecular Imaging with Topically Applied SERS Nanoparticles for Intraoperative Guidance of Lumpectomy. Cancer Research. 77(16). 4506–4516. 71 indexed citations
18.
Parker, Elizabeth U., et al.. (2017). NDER. Academic Pathology. 4. 1531691189–1531691189. 16 indexed citations
19.
Kang, Soyoung, Yu Wang, Nicholas P. Reder, & Jonathan Liu. (2016). Multiplexed Molecular Imaging of Biomarker-Targeted SERS Nanoparticles on Fresh Tissue Specimens with Channel-Compressed Spectrometry. PLoS ONE. 11(9). e0163473–e0163473. 34 indexed citations
20.
Konnick, Eric Q., Nicholas P. Reder, Dhruba J. SenGupta, et al.. (2016). Incidental identification of Strongyloides stercoralis infection by broad-range 28S rDNA gene sequencing in a patient with a hematolymphoid malignancy. Diagnostic Microbiology and Infectious Disease. 86(4). 362–364. 3 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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