Steven M. Cramer

4.2k total citations
126 papers, 3.1k citations indexed

About

Steven M. Cramer is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Steven M. Cramer has authored 126 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Molecular Biology, 55 papers in Radiology, Nuclear Medicine and Imaging and 49 papers in Spectroscopy. Recurrent topics in Steven M. Cramer's work include Protein purification and stability (90 papers), Monoclonal and Polyclonal Antibodies Research (55 papers) and Analytical Chemistry and Chromatography (47 papers). Steven M. Cramer is often cited by papers focused on Protein purification and stability (90 papers), Monoclonal and Polyclonal Antibodies Research (55 papers) and Analytical Chemistry and Chromatography (47 papers). Steven M. Cramer collaborates with scholars based in United States, Denmark and Germany. Steven M. Cramer's co-authors include Sanchayita Ghose, Brian Hubbard, Guhan Jayaraman, Amitava Kundu, Stuart R. Gallant, James A. Moore, Suresh Vunnum, Shishir D. Gadam, Melissa Holstein and Nihal Tugçu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and SHILAP Revista de lepidopterología.

In The Last Decade

Steven M. Cramer

123 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven M. Cramer United States 32 2.5k 1.3k 1.2k 636 346 126 3.1k
Steven M. Cramer United States 34 2.4k 0.9× 854 0.7× 1.4k 1.2× 669 1.1× 409 1.2× 156 3.6k
Daniel G. Bracewell United Kingdom 34 2.8k 1.1× 1.1k 0.9× 272 0.2× 855 1.3× 101 0.3× 139 3.6k
Ruben G. Carbonell United States 30 2.0k 0.8× 1.1k 0.9× 202 0.2× 542 0.9× 79 0.2× 119 2.7k
Shuang Yang China 32 2.0k 0.8× 369 0.3× 721 0.6× 338 0.5× 22 0.1× 163 3.1k
Abhinav Shukla United States 13 1.6k 0.6× 982 0.8× 115 0.1× 381 0.6× 59 0.2× 21 1.9k
Conan J. Fee New Zealand 25 771 0.3× 194 0.2× 164 0.1× 627 1.0× 41 0.1× 93 2.1k
Brian D. Kelley United States 24 1.9k 0.7× 1.1k 0.8× 197 0.2× 354 0.6× 48 0.1× 42 2.4k
Zheng Jian Li United States 38 3.1k 1.2× 1.1k 0.9× 194 0.2× 1.1k 1.7× 213 0.6× 178 4.2k
Sadettin S. Ozturk United States 22 1.2k 0.5× 253 0.2× 57 0.0× 605 1.0× 71 0.2× 35 1.9k
Sanchayita Ghose United States 27 1.7k 0.7× 991 0.8× 210 0.2× 417 0.7× 111 0.3× 89 2.0k

Countries citing papers authored by Steven M. Cramer

Since Specialization
Citations

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

Fields of papers citing papers by Steven M. Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven M. Cramer. 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 Steven M. Cramer. The network helps show where Steven M. Cramer may publish in the future.

Co-authorship network of co-authors of Steven M. Cramer

This figure shows the co-authorship network connecting the top 25 collaborators of Steven M. Cramer. A scholar is included among the top collaborators of Steven M. Cramer 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 Steven M. Cramer. Steven M. Cramer 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.
Cramer, Steven M., et al.. (2024). In silico mediated workflow for rapid development of downstream processing: Orthogonal product-related impurity removal for a Fc-containing therapeutic. Journal of Chromatography A. 1735. 465281–465281. 2 indexed citations
2.
Becker, Matthew L., Leila H. Choe, Lie Min, et al.. (2024). Factors affecting product association as a mechanism of host‐cell protein persistence in bioprocessing. Biotechnology and Bioengineering. 121(4). 1283–1296. 2 indexed citations
3.
Choe, Leila H., Lie Min, Taufika Islam Williams, et al.. (2023). Identification and characterization of CHO host‐cell proteins in monoclonal antibody bioprocessing. Biotechnology and Bioengineering. 121(1). 291–305. 16 indexed citations
4.
Cramer, Steven M., et al.. (2023). Implications of AAV affinity column reuse and vector stability on product quality attributes. Biotechnology and Bioengineering. 121(8). 2449–2465. 4 indexed citations
5.
Han, Xuan, et al.. (2022). Development of QSAR models for in silico screening of antibody solubility. mAbs. 14(1). 2062807–2062807. 16 indexed citations
6.
Becker, Matthew L., Leila H. Choe, Lie Min, et al.. (2022). Characterization and implications of host‐cell protein aggregates in biopharmaceutical processing. Biotechnology and Bioengineering. 120(4). 1068–1080. 20 indexed citations
7.
Chu, Wenning, Taufika Islam Williams, Ruben G. Carbonell, et al.. (2022). Towards continuous mAb purification: Clearance of host cell proteins from CHO cell culture harvests via “flow‐through affinity chromatography” using peptide‐based adsorbents. Biotechnology and Bioengineering. 119(7). 1873–1889. 19 indexed citations
8.
Chen, Jie, et al.. (2021). Affinity precipitation of monoclonal antibodies using ELP-Z in the elution without resolubilization mode. Journal of Biotechnology. 338. 1–4. 2 indexed citations
9.
Zhang, Ling, et al.. (2019). Mechanistic modeling based process development for monoclonal antibody monomer-aggregate separations in multimodal cation exchange chromatography. Journal of Chromatography A. 1602. 317–325. 17 indexed citations
10.
Chandra, Divya, et al.. (2013). Design of peptide affinity ligands for S-protein: a comparison of combinatorial and de novo design strategies. Molecular Diversity. 17(2). 357–369. 10 indexed citations
11.
Mascia, Nilson Tadeu & Steven M. Cramer. (2009). On the effect of the number of annual growth rings, specific gravity and temperature on redwood elastic modulus. SHILAP Revista de lepidopterología. 5 indexed citations
12.
Peyer, Suzanne M. & Steven M. Cramer. (2007). Behavior Of Nailed Connections At Elevated Temperatures. Wood and Fiber Science. 31(3). 264–276. 4 indexed citations
13.
Green, David W., et al.. (2007). On Fracture-Related Causes for Reduction in Tensile Strength of Southern Pine Lumber at Low Moisture Content. Wood and Fiber Science. 35(1). 90–101. 1 indexed citations
14.
Cramer, Steven M., et al.. (2005). Inspire Future Engineers with the Concrete Canoe Competition. 65(4). 17–19. 2 indexed citations
15.
Tugçu, Nihal & Steven M. Cramer. (2004). The effect of multi-component adsorption on selectivity in ion exchange displacement systems. Journal of Chromatography A. 1063(1-2). 15–23. 12 indexed citations
16.
Tugçu, Nihal, et al.. (2002). Stationary phase effects on the dynamic affinity of low-molecular-mass displacers. Journal of Chromatography A. 954(1-2). 127–135. 9 indexed citations
17.
Tugçu, Nihal, et al.. (2001). Purification of an oligonucleotide at high column loading by high affinity, low-molecular-mass displacers. Journal of Chromatography A. 923(1-2). 65–73. 34 indexed citations
18.
Shukla, Abhinav, et al.. (1998). Structural characteristics of low-molecular-mass displacers for cation-exchange chromatography. Journal of Chromatography A. 814(1-2). 83–95. 24 indexed citations
19.
Cramer, Steven M., et al.. (1993). Fire Endurance Model for a Metal-Plate-Connected Wood Truss. 472–477. 6 indexed citations
20.
Cramer, Steven M., et al.. (1989). Predicting lumber tensile stiffness and strength with local grain angle measurements and failure analysis. Wood and Fiber Science. 21(4). 393–410. 23 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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Breakdown of academic impact, for papers by Steven M. Cramer Breakdown of academic impact, for papers by Daniel G. Bracewell Breakdown of academic impact, for papers by Ruben G. Carbonell Breakdown of academic impact, for papers by Shuang Yang Breakdown of academic impact, for papers by Abhinav Shukla Breakdown of academic impact, for papers by Conan J. Fee Breakdown of academic impact, for papers by Brian D. Kelley Breakdown of academic impact, for papers by Zheng Jian Li Breakdown of academic impact, for papers by Sadettin S. Ozturk Breakdown of academic impact, for papers by Sanchayita Ghose
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