Nihal Tugçu

1.0k total citations
26 papers, 818 citations indexed

About

Nihal Tugçu is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Nihal Tugçu has authored 26 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Spectroscopy and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Nihal Tugçu's work include Protein purification and stability (22 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers) and Analytical Chemistry and Chromatography (10 papers). Nihal Tugçu is often cited by papers focused on Protein purification and stability (22 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers) and Analytical Chemistry and Chromatography (10 papers). Nihal Tugçu collaborates with scholars based in United States, South Korea and Germany. Nihal Tugçu's co-authors include Steven M. Cramer, Steven M. Cramer, Shekhar Garde, Amrit Kalra, Curt M. Breneman, Minghu Song, N. Sukumar, Kristin P. Bennett, David J. Roush and James A. Moore and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Journal of Physical Chemistry B.

In The Last Decade

Nihal Tugçu

25 papers receiving 789 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nihal Tugçu United States 18 533 214 194 159 127 26 818
Steven M. Cramer United States 11 233 0.4× 156 0.7× 74 0.4× 88 0.6× 85 0.7× 17 586
Tomasz P. Wróbel Poland 19 292 0.5× 89 0.4× 113 0.6× 265 1.7× 453 3.6× 60 1.2k
Benoît Charrier France 15 236 0.4× 394 1.8× 187 1.0× 140 0.9× 78 0.6× 29 728
Matthias C. Jecklin Switzerland 14 218 0.4× 414 1.9× 78 0.4× 107 0.7× 82 0.6× 16 622
Jakub Surmacki Poland 20 581 1.1× 97 0.5× 85 0.4× 181 1.1× 420 3.3× 53 1.2k
Johanna Becker Germany 13 408 0.8× 194 0.9× 58 0.3× 126 0.8× 10 0.1× 23 679
C. Hughes United Kingdom 17 252 0.5× 85 0.4× 93 0.5× 152 1.0× 499 3.9× 25 946
Paul Bassan United Kingdom 15 317 0.6× 69 0.3× 204 1.1× 214 1.3× 808 6.4× 16 1.4k
James A. Carroll United States 17 573 1.1× 781 3.6× 74 0.4× 116 0.7× 53 0.4× 34 1.3k
Graeme Clemens United Kingdom 15 219 0.4× 87 0.4× 45 0.2× 354 2.2× 288 2.3× 28 903

Countries citing papers authored by Nihal Tugçu

Since Specialization
Citations

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

Fields of papers citing papers by Nihal Tugçu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nihal Tugçu

This figure shows the co-authorship network connecting the top 25 collaborators of Nihal Tugçu. A scholar is included among the top collaborators of Nihal Tugçu 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 Nihal Tugçu. Nihal Tugçu 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.
Carvalho, Sofia B., Ricardo A. Gomes, Anja Pfenninger, et al.. (2022). Multi attribute method implementation using a High Resolution Mass Spectrometry platform: From sample preparation to batch analysis. PLoS ONE. 17(1). e0262711–e0262711. 18 indexed citations
2.
Insaidoo, Francis, et al.. (2022). Cation exchange as a single polishing step for conjugated peptides. Biotechnology Progress. 38(3). e3238–e3238. 1 indexed citations
3.
Li, Guanghua, Jennifer M. Pollard, Ren Liu, et al.. (2021). Retrospective assessment of clonality of a legacy cell line by analytical subcloning of the master cell bank. Biotechnology Progress. 38(1). e3215–e3215.
4.
Tugçu, Nihal, et al.. (2018). Accurate and Rapid Protein Concentration Measurement of In‐Process, High Concentration Protein Pools. Biotechnology Progress. 34(5). 1234–1241. 6 indexed citations
5.
Blom, Hans, Hanno Ehring, Hong Li, et al.. (2017). Definition and dynamic control of a continuous chromatography process independent of cell culture titer and impurities. Journal of Chromatography A. 1526. 58–69. 41 indexed citations
6.
Tugçu, Nihal, et al.. (2017). Impact of Freeze/Thaw Process on Drug Substance Storage of Therapeutics. Journal of Pharmaceutical Sciences. 106(8). 1944–1951. 17 indexed citations
7.
Roush, David J., et al.. (2015). Prediction of viral filtration performance of monoclonal antibodies based on biophysical properties of feed. Biotechnology Progress. 31(3). 765–774. 24 indexed citations
8.
Welsh, John P., et al.. (2015). High throughput chromatography strategies for potential use in the formal process characterization of a monoclonal antibody. Biotechnology and Bioengineering. 113(6). 1273–1283. 20 indexed citations
9.
Tugçu, Nihal. (2008). Purification of Proteins Using Displacement Chromatography. Humana Press eBooks. 421. 71–90. 5 indexed citations
10.
Tugçu, Nihal, David J. Roush, & Kent E. Göklen. (2007). Maximizing productivity of chromatography steps for purification of monoclonal antibodies. Biotechnology and Bioengineering. 99(3). 599–613. 41 indexed citations
11.
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
12.
Rege, Kaushal, et al.. (2004). Parallel screening of selective and high-affinity displacers for proteins in ion-exchange systems. Journal of Chromatography A. 1033(1). 19–28. 35 indexed citations
13.
14.
Rege, Kaushal, Nihal Tugçu, & Steven M. Cramer. (2003). Predicting Column Performance in Displacement Chromatography from High Throughput Screening Batch Experiments. Separation Science and Technology. 38(7). 1499–1517. 17 indexed citations
15.
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
16.
17.
Tugçu, Nihal, et al.. (2002). Synthesis and Characterization of High-Affinity, Low-Molecular-Mass Displacers for Anion-Exchange Chromatography. Industrial & Engineering Chemistry Research. 41(25). 6482–6492. 47 indexed citations
18.
Song, Minghu, Curt M. Breneman, Jinbo Bi, et al.. (2002). Prediction of Protein Retention Times in Anion-Exchange Chromatography Systems Using Support Vector Regression. Journal of Chemical Information and Computer Sciences. 42(6). 1347–1357. 133 indexed citations
19.
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
20.
Kalra, Amrit, Nihal Tugçu, Steven M. Cramer, & Shekhar Garde. (2001). Salting-In and Salting-Out of Hydrophobic Solutes in Aqueous Salt Solutions. The Journal of Physical Chemistry B. 105(27). 6380–6386. 161 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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