Sanjeev Ahuja

1.5k total citations
42 papers, 1.1k citations indexed

About

Sanjeev Ahuja is a scholar working on Molecular Biology, Psychiatry and Mental health and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Sanjeev Ahuja has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 14 papers in Psychiatry and Mental health and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Sanjeev Ahuja's work include Viral Infectious Diseases and Gene Expression in Insects (14 papers), Sexual function and dysfunction studies (14 papers) and Protein purification and stability (12 papers). Sanjeev Ahuja is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (14 papers), Sexual function and dysfunction studies (14 papers) and Protein purification and stability (12 papers). Sanjeev Ahuja collaborates with scholars based in United States, United Kingdom and Japan. Sanjeev Ahuja's co-authors include Michael W. Handlogten, Gisela Ferreira, Antonio R. Moreira, Aileen Murphy, Gerald Brock, Joel M. Kaufman, Gregory A. Broderick, Steve Whitaker, David G. Wong and Fanni Natanegara and has published in prestigious journals such as Advanced Drug Delivery Reviews, Scientific Reports and The Journal of Urology.

In The Last Decade

Sanjeev Ahuja

40 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjeev Ahuja United States 20 498 363 321 183 156 42 1.1k
Yuxuan Song China 16 133 0.3× 267 0.7× 105 0.3× 61 0.3× 46 0.3× 107 814
Patrick Klein United States 27 87 0.2× 505 1.4× 36 0.1× 38 0.2× 30 0.2× 104 1.8k
Karan Arora United States 14 49 0.1× 293 0.8× 35 0.1× 28 0.2× 30 0.2× 40 823
Zhigang Wu China 16 24 0.0× 223 0.6× 33 0.1× 32 0.2× 27 0.2× 70 704
Yin Huang China 17 23 0.0× 212 0.6× 105 0.3× 15 0.1× 35 0.2× 58 1.1k
Tian Tian China 18 16 0.0× 356 1.0× 184 0.6× 21 0.1× 22 0.1× 85 1.2k
Jie Zhao China 18 21 0.0× 336 0.9× 12 0.0× 23 0.1× 37 0.2× 82 1.0k
Joon Seok Bang South Korea 14 36 0.1× 320 0.9× 28 0.1× 36 0.2× 6 0.0× 63 1.2k
Hans Arora United States 11 57 0.1× 136 0.4× 21 0.1× 13 0.1× 81 0.5× 31 833

Countries citing papers authored by Sanjeev Ahuja

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeev Ahuja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjeev Ahuja

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjeev Ahuja. A scholar is included among the top collaborators of Sanjeev Ahuja 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 Sanjeev Ahuja. Sanjeev Ahuja 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.
Hsieh, Andrew, Patricia Rose, George Zhou, et al.. (2024). Raman spectroscopy for monitoring free sulfhydryl formation during monoclonal antibody manufacturing. Journal of Pharmaceutical and Biomedical Analysis. 252. 116530–116530.
2.
Ahuja, Sanjeev, et al.. (2022). Changes to culture pH and dissolved oxygen can enhance chimeric antigen receptor T‐cell generation and differentiation. Biotechnology Progress. 38(5). e3275–e3275. 7 indexed citations
3.
Elborn, J.S., Michael W. Konstan, Jennifer L. Taylor‐Cousar, et al.. (2021). Empire-CF study: A phase 2 clinical trial of leukotriene A4 hydrolase inhibitor acebilustat in adult subjects with cystic fibrosis. Journal of Cystic Fibrosis. 20(6). 1026–1034. 11 indexed citations
4.
Ahuja, Sanjeev, et al.. (2021). Addressing Patient to Patient Variability for Autologous CAR T Therapies. Journal of Pharmaceutical Sciences. 110(5). 1871–1876. 17 indexed citations
5.
Sinharoy, Pritam, et al.. (2020). Perfusion reduces bispecific antibody aggregation via mitigating mitochondrial dysfunction-induced glutathione oxidation and ER stress in CHO cells. Scientific Reports. 10(1). 16620–16620. 28 indexed citations
6.
Handlogten, Michael W., et al.. (2020). Prevention of Fab-arm exchange and antibody reduction via stabilization of the IgG4 hinge region. mAbs. 12(1). 1779974–1779974. 19 indexed citations
7.
Margaroli, Camilla, Cecilia Thompson, Milton R. Brown, et al.. (2020). Distinct compartmentalization of immune cells and mediators characterizes bullous pemphigoid disease. Experimental Dermatology. 29(12). 1191–1198. 12 indexed citations
8.
Agarwal, Nitin, Rahul Pradhan, Allen D. Bosley, et al.. (2019). Kinetic modeling as a tool to understand the influence of cell culture process parameters on the glycation of monoclonal antibody biotherapeutics. Biotechnology Progress. 35(5). e2865–e2865. 6 indexed citations
9.
Roy, Gargi, Jihong Wang, R. James Christie, et al.. (2019). Development of a high yielding expression platform for the introduction of non-natural amino acids in protein sequences. mAbs. 12(1). 1684749–1684749. 35 indexed citations
10.
Margaroli, Camilla, Bekh Bradley, Sanjeev Ahuja, et al.. (2019). 1034 Leukotriene B4 pathway and tissue damage markers are expressed by granulocytes in lesional skin in bullous pemphigoid. Journal of Investigative Dermatology. 139(5). S179–S179.
11.
Elborn, J.S., Sanjeev Ahuja, Eric B. Springman, et al.. (2018). EMPIRE-CF: A phase II randomized placebo-controlled trial of once-daily, oral acebilustat in adult patients with cystic fibrosis – Study design and patient demographics. Contemporary Clinical Trials. 72. 86–94. 25 indexed citations
12.
13.
Ahuja, Sanjeev. (2006). Assuring quality of drugs by monitoring impurities☆. Advanced Drug Delivery Reviews. 59(1). 3–11. 56 indexed citations
14.
Broderick, Gregory A., Craig F. Donatucci, Dimitrios Hatzichristou, et al.. (2006). Efficacy of Tadalafil in Men with Erectile Dysfunction Naïve to Phosphodiesterase 5 Inhibitor Therapy Compared with Prior Responders to Sildenafil Citrate. The Journal of Sexual Medicine. 3(4). 668–675. 13 indexed citations
15.
Kloner, Robert A., et al.. (2005). Efficacy of tadalafil in the treatment of erectile dysfunction in hypertensive men on concomitant thiazide diuretic therapy. International Journal of Impotence Research. 17(5). 450–454. 16 indexed citations
16.
Young, Jay M., Robert Feldman, Stephen M. Auerbach, et al.. (2005). Tadalafil Improved Erectile Function at Twenty‐Four and Thirty‐Six Hours After Dosing in Men With Erectile Dysfunction: US Trial. Journal of Andrology. 26(3). 310–318. 53 indexed citations
17.
Shabsigh, Ridwan, Arthur L. Burnett, Ian Eardley, et al.. (2005). Time from dosing to sexual intercourse attempts in men taking tadalafil in clinical trials. British Journal of Urology. 96(6). 857–863. 14 indexed citations
18.
Ahuja, Sanjeev, Gisela Ferreira, & Antonio R. Moreira. (2004). Utilization of Enzymes for Environmental Applications. Critical Reviews in Biotechnology. 24(2-3). 125–154. 91 indexed citations
19.
Kulkarni, Pandurang M., Eric S. Meadows, Sanjeev Ahuja, & David Muram. (2004). Rationale for a non-inferiority clinical trial design focused on subpopulations. Current Medical Research and Opinion. 20(10). 1641–1647. 5 indexed citations
20.

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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