Sam Guhan

1.1k total citations · 1 hit paper
4 papers, 827 citations indexed

About

Sam Guhan is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Sam Guhan has authored 4 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Organic Chemistry. Recurrent topics in Sam Guhan's work include Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Protein purification and stability (2 papers). Sam Guhan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Protein purification and stability (2 papers). Sam Guhan collaborates with scholars based in United States and Australia. Sam Guhan's co-authors include Tim Tressel, Abhinav Shukla, Duncan Low, Brian Hubbard, P A Seymour, Martin J. Pagnozzi, Alan H. Ganong, Victor Guanowsky, Frank E. Ewing and D.J. Critchett and has published in prestigious journals such as Journal of Chromatography A, Bioorganic & Medicinal Chemistry Letters and Journal of Chromatography B.

In The Last Decade

Sam Guhan

4 papers receiving 781 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.

Downstream processing of monoclonal antibodies—Application of platform approaches

2007 659 citations Abhinav Shukla, Brian Hubbard et al. Journal of Chromatography B profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Guhan United States	4	724	499	127	95	93	4	827
Timothy M. Pabst United States	17	727 1.0×	459 0.9×	236 1.9×	13 0.1×	205 2.2×	25	800
David Pfister Switzerland	10	273 0.4×	130 0.3×	83 0.7×	48 0.5×	33 0.4×	19	374
Amith D. Naik United States	14	453 0.6×	353 0.7×	51 0.4×	34 0.4×	18 0.2×	16	496
Boxu Yan United States	12	586 0.8×	428 0.9×	77 0.6×	32 0.3×	105 1.1×	17	639
Narendra B. Bam United States	5	448 0.6×	163 0.3×	59 0.5×	36 0.4×	32 0.3×	7	515
Kurt Forrer Switzerland	8	352 0.5×	282 0.6×	57 0.4×	12 0.1×	31 0.3×	8	417
Gianine Figliozzi United States	6	491 0.7×	146 0.3×	47 0.4×	228 2.4×	72 0.8×	12	575
Rohin Mhatre United States	13	462 0.6×	230 0.5×	136 1.1×	11 0.1×	176 1.9×	15	613
Márton Szigeti Hungary	16	399 0.6×	167 0.3×	250 2.0×	123 1.3×	102 1.1×	38	579
Mark Brower United States	11	320 0.4×	107 0.2×	125 1.0×	25 0.3×	21 0.2×	17	384

Countries citing papers authored by Sam Guhan

Since Specialization

Citations

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

Fields of papers citing papers by Sam Guhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Guhan

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

4 of 4 papers shown

1.

Shukla, Abhinav, Brian Hubbard, Tim Tressel, Sam Guhan, & Duncan Low. (2007). Downstream processing of monoclonal antibodies—Application of platform approaches. Journal of Chromatography B. 848(1). 28–39. 659 indexed citations breakdown →

2.

Zhou, Joe, et al.. (2007). pH–conductivity hybrid gradient cation-exchange chromatography for process-scale monoclonal antibody purification. Journal of Chromatography A. 1175(1). 69–80. 39 indexed citations

3.

Guhan, Sam, et al.. (2002). Intelligent automation of high-performance liquid chromatography method development by means of a real-time knowledge-based approach. Journal of Chromatography A. 972(1). 27–43. 22 indexed citations

4.

WELCH, W. M., Frank E. Ewing, Frank S. Menniti, et al.. (2001). Atropisomeric quinazolin-4-one derivatives are potent noncompetitive α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor antagonists. Bioorganic & Medicinal Chemistry Letters. 11(2). 177–181. 107 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.

Explore authors with similar magnitude of impact