Kevin D. Seibert

482 total citations
18 papers, 245 citations indexed

About

Kevin D. Seibert is a scholar working on Molecular Biology, Control and Systems Engineering and Computational Mechanics. According to data from OpenAlex, Kevin D. Seibert has authored 18 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Control and Systems Engineering and 4 papers in Computational Mechanics. Recurrent topics in Kevin D. Seibert's work include Chemical Synthesis and Analysis (6 papers), Granular flow and fluidized beds (4 papers) and Protein purification and stability (3 papers). Kevin D. Seibert is often cited by papers focused on Chemical Synthesis and Analysis (6 papers), Granular flow and fluidized beds (4 papers) and Protein purification and stability (3 papers). Kevin D. Seibert collaborates with scholars based in United States, United Kingdom and Spain. Kevin D. Seibert's co-authors include Carla V. Luciani, Mark A. Burns, Shankar Vaidyaraman, Salvador García‐Muñoz, Michael E. Kopach, Fernando Alberício, Andrew G. Livingston, Dae‐Ok Kim, Ludmila Peeva and Piers R. J. Gaffney and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Industrial & Engineering Chemistry Research.

In The Last Decade

Kevin D. Seibert

17 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kevin D. Seibert United States	10	86	49	44	39	36	18	245
Xavier Joulia France	13	37 0.4×	98 2.0×	164 3.7×	71 1.8×	39 1.1×	33	397
Olav Lyngberg United States	12	168 2.0×	52 1.1×	104 2.4×	28 0.7×	53 1.5×	16	401
Joan Cordiner United Kingdom	11	30 0.3×	109 2.2×	65 1.5×	96 2.5×	9 0.3×	30	402
Chuntian Hu United States	14	42 0.5×	154 3.1×	200 4.5×	53 1.4×	21 0.6×	23	491
Kanjakha Pal United States	10	35 0.4×	297 6.1×	99 2.3×	38 1.0×	26 0.7×	14	408
Otto Scheibelhofer Austria	11	43 0.5×	99 2.0×	104 2.4×	30 0.8×	40 1.1×	26	391
Hikaru G. Jolliffe United Kingdom	9	46 0.5×	114 2.3×	136 3.1×	127 3.3×	9 0.3×	14	276
John McGinty United Kingdom	10	20 0.2×	191 3.9×	71 1.6×	26 0.7×	12 0.3×	12	323
Zhe Guo China	12	46 0.5×	34 0.7×	62 1.4×	46 1.2×	3 0.1×	18	347
Christopher J. Testa United States	10	50 0.6×	193 3.9×	178 4.0×	84 2.2×	12 0.3×	12	359

Countries citing papers authored by Kevin D. Seibert

Since Specialization

Citations

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

Fields of papers citing papers by Kevin D. Seibert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin D. Seibert. 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 Kevin D. Seibert. The network helps show where Kevin D. Seibert may publish in the future.

Co-authorship network of co-authors of Kevin D. Seibert

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

All Works

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18 of 18 papers shown

Mukherjee, Subha, David A. Thaisrivongs, Alec Fettes, et al.. (2025). Industry Perspective on the Selection of Regulatory Starting Materials for Synthetic Peptides. Organic Process Research & Development. 29(3). 671–677. 2 indexed citations

Teng, Jing, et al.. (2025). Advancing Peptide Synthesis: Liquid-Phase Assembly of Tirzepatide’s C-Terminus (30–39) via Crystalline Pentamer Building Blocks. Organic Process Research & Development. 29(11). 2896–2907.

Allen, David P., et al.. (2024). Surface-mediated spontaneous emulsification of the acylated peptide semaglutide. Proceedings of the National Academy of Sciences. 121(5). e2305770121–e2305770121. 4 indexed citations

Wang, Jingyao, et al.. (2024). Quality by design of solid‐phase peptide/protein coupling reaction via mechanistic reaction kinetics modeling approach. AIChE Journal. 70(8). 3 indexed citations

Wang, Jingyao, Timothy M. Braden, Martin D. Johnson, et al.. (2022). Mechanistic Study of Diketopiperazine Formation during Solid-Phase Peptide Synthesis of Tirzepatide. ACS Omega. 7(50). 46809–46824. 17 indexed citations

Peeva, Ludmila, Piers R. J. Gaffney, Dae‐Ok Kim, et al.. (2021). Liquid Phase Peptide Synthesis via One‐Pot Nanostar Sieving (PEPSTAR). Angewandte Chemie. 133(14). 7865–7874. 6 indexed citations

Peeva, Ludmila, Piers R. J. Gaffney, Dae‐Ok Kim, et al.. (2021). Liquid Phase Peptide Synthesis via One‐Pot Nanostar Sieving (PEPSTAR). Angewandte Chemie International Edition. 60(14). 7786–7795. 30 indexed citations

Borman, Phil J., Kevin D. Seibert, Sushil Srivastava, et al.. (2018). The Delivery of Flexibility from the Application of QbD to API Development. Journal of Pharmaceutical Innovation. 13(4). 367–372. 4 indexed citations

Seibert, Kevin D., et al.. (2018). Part 3: Enhanced Approaches to the Development of the Control Strategy and its Implementation in the Manufacturing Process Description. Journal of Pharmaceutical Innovation. 14(1). 1–14. 5 indexed citations

10.

García‐Muñoz, Salvador, Carla V. Luciani, Shankar Vaidyaraman, & Kevin D. Seibert. (2015). Definition of Design Spaces Using Mechanistic Models and Geometric Projections of Probability Maps. Organic Process Research & Development. 19(8). 1012–1023. 54 indexed citations

11.

Luciani, Carla V., et al.. (2015). Modeling-Aided Scale-Up of High-Shear Rotor–Stator Wet Milling for Pharmaceutical Applications. Organic Process Research & Development. 19(5). 582–589. 32 indexed citations

12.

Thomson, Nicholas M., Robert A. Singer, Kevin D. Seibert, et al.. (2015). Case Studies in the Development of Drug Substance Control Strategies. Organic Process Research & Development. 19(8). 935–948. 13 indexed citations

13.

Thomson, Nicholas M., Kevin D. Seibert, Srinivas Tummala, et al.. (2014). Case Studies in the Applicability of Drug Substance Design Spaces Developed on the Laboratory Scale to Commercial Manufacturing. Organic Process Research & Development. 19(8). 925–934. 5 indexed citations

14.

Seibert, Kevin D., et al.. (2008). Unit Operations Characterization Using Historical Manufacturing Performance. Industrial & Engineering Chemistry Research. 47(17). 6612–6621. 10 indexed citations

15.

Seibert, Kevin D., et al.. (2008). The Use of Routine Process Capability for the Determination of Process Parameter Criticality in Small-molecule API Synthesis. Journal of Pharmaceutical Innovation. 3(2). 105–112. 17 indexed citations

16.

Seibert, Kevin D. & Mark A. Burns. (1998). Simulation of structural phenomena in mixed‐particle fluidized beds. AIChE Journal. 44(3). 528–537. 13 indexed citations

17.

Seibert, Kevin D. & Mark A. Burns. (1998). Effect of Hydrodynamic and Magnetic Stabilization on Fluidized-Bed Adsorption. Biotechnology Progress. 14(5). 749–755. 13 indexed citations

18.

Seibert, Kevin D. & Mark A. Burns. (1996). Simulation of fluidized beds and other fluid‐particle systems using statistical mechanics. AIChE Journal. 42(3). 660–670. 17 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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