Anil Pahuja

816 total citations
18 papers, 625 citations indexed

About

Anil Pahuja is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Anil Pahuja has authored 18 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Anil Pahuja's work include T-cell and B-cell Immunology (5 papers), CAR-T cell therapy research (4 papers) and Immunotherapy and Immune Responses (4 papers). Anil Pahuja is often cited by papers focused on T-cell and B-cell Immunology (5 papers), CAR-T cell therapy research (4 papers) and Immunotherapy and Immune Responses (4 papers). Anil Pahuja collaborates with scholars based in United States, Netherlands and India. Anil Pahuja's co-authors include Amitabh Gaur, Paul D. Crowe, Paul Conlon, Nicholas Ling, Stefen A. Boehme, David G. Alleva, Marie‐Luise Brennan, Aldons J. Lusis, Wanda F. Reynolds and Peter A. Gottlieb and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Diabetes.

In The Last Decade

Anil Pahuja

18 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anil Pahuja United States 13 267 169 150 114 103 18 625
Juan José Múñoz Spain 19 232 0.9× 174 1.0× 123 0.8× 479 4.2× 54 0.5× 47 1.1k
Anna Casati Italy 12 672 2.5× 291 1.7× 59 0.4× 279 2.4× 69 0.7× 16 1.1k
Ke Yu China 12 408 1.5× 555 3.3× 55 0.4× 159 1.4× 47 0.5× 33 963
Antonietta Picascia Italy 16 113 0.4× 59 0.3× 177 1.2× 378 3.3× 57 0.6× 35 794
A. Polyzos Greece 14 81 0.3× 149 0.9× 67 0.4× 176 1.5× 58 0.6× 35 519
Isabel Ben‐Batalla Germany 13 267 1.0× 167 1.0× 30 0.2× 282 2.5× 47 0.5× 24 718
Jessica L. Bowser United States 14 160 0.6× 152 0.9× 56 0.4× 286 2.5× 43 0.4× 25 700
Maha Dawood United States 5 525 2.0× 110 0.7× 22 0.1× 253 2.2× 98 1.0× 7 887
Pasquale Persico Italy 14 145 0.5× 128 0.8× 24 0.2× 148 1.3× 28 0.3× 40 596
Taizo Kimura Japan 13 93 0.3× 73 0.4× 125 0.8× 117 1.0× 27 0.3× 26 529

Countries citing papers authored by Anil Pahuja

Since Specialization
Citations

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

Fields of papers citing papers by Anil Pahuja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anil Pahuja

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

All Works

18 of 18 papers shown
1.
Tettero, Jesse M., Naveen Dakappagari, Diana Hanekamp, et al.. (2023). Analytical assay validation for acute myeloid leukemia measurable residual disease assessment by multiparametric flow cytometry. Cytometry Part B Clinical Cytometry. 104(6). 426–439. 10 indexed citations
2.
Khunger, Arjun, Ghanashyam Sarikonda, Anil Pahuja, et al.. (2021). Multimarker scores of Th1 and Th2 immune cellular profiles in peripheral blood predict response and immune related toxicity with CTLA4 blockade and IFNα in melanoma. Translational Oncology. 14(3). 101014–101014. 11 indexed citations
3.
Sarikonda, Ghanashyam, Mélissa Mathieu, Anil Pahuja, et al.. (2020). Best practices for the development, analytical validation and clinical implementation of flow cytometric methods for chimeric antigen receptor T cell analyses. Cytometry Part B Clinical Cytometry. 100(1). 79–91. 25 indexed citations
4.
Khunger, Arjun, Ghanashyam Sarikonda, Zeni Alfonso, et al.. (2020). Predictive value of circulating B cells and T cell subsets in melanoma patients treated with neoadjuvant ipilimumab and interferon.. Journal of Clinical Oncology. 38(15_suppl). e15036–e15036. 2 indexed citations
5.
Sarikonda, Ghanashyam, Anil Pahuja, Kevin T. Nguyen, et al.. (2020). Monitoring CAR‐T cell kinetics in clinical trials by multiparametric flow cytometry: Benefits and challenges. Cytometry Part B Clinical Cytometry. 100(1). 72–78. 21 indexed citations
6.
7.
Zhang, Niu, et al.. (2012). Reduction in obesity-related comorbidities: is gastric bypass better than sleeve gastrectomy?. Surgical Endoscopy. 27(4). 1273–1280. 79 indexed citations
8.
Kawamoto, Koichi, Anil Pahuja, Bernhard J. Hering, & Pratima Bansal‐Pakala. (2010). Transforming growth factor beta 1 (TGF-β1) and rapamycin synergize to effectively suppress human T cell responses via upregulation of FoxP3+ Tregs. Transplant Immunology. 23(1-2). 28–33. 21 indexed citations
9.
Wayne, Michael, et al.. (2009). Central pancreatectomy without anastomosis. World Journal of Surgical Oncology. 7(1). 67–67. 20 indexed citations
10.
Heise, Christopher E., Anil Pahuja, Amy Putnam, et al.. (2005). Pharmacological Characterization of CXC Chemokine Receptor 3 Ligands and a Small Molecule Antagonist. Journal of Pharmacology and Experimental Therapeutics. 313(3). 1263–1271. 68 indexed citations
11.
Lowe, Richard F., Paul D. Crowe, Anil Pahuja, et al.. (2005). Rational Design, Synthesis, and Structure−Activity Relationships of Aryltriazoles as Novel Corticotropin-Releasing Factor-1 Receptor Antagonists. Journal of Medicinal Chemistry. 48(5). 1540–1549. 24 indexed citations
12.
Ott, Thomas, Anil Pahuja, Sarah A. Nickolls, David G. Alleva, & R. Scott Struthers. (2004). Identification of CC Chemokine Receptor 7 Residues Important for Receptor Activation. Journal of Biological Chemistry. 279(41). 42383–42392. 21 indexed citations
13.
Ott, Thomas, Anil Pahuja, Francisco M. Lio, et al.. (2004). A high-throughput chemotaxis assay for pharmacological characterization of chemokine receptors: Utilization of U937 monocytic cells. Journal of Pharmacological and Toxicological Methods. 51(2). 105–114. 11 indexed citations
14.
Hoare, Sam R.J., Susan K. Sullivan, Anil Pahuja, et al.. (2003). Conformational states of the corticotropin releasing factor 1 (CRF1) receptor: detection, and pharmacological evaluation by peptide ligands. Peptides. 24(12). 1881–1897. 23 indexed citations
15.
16.
Brennan, Marie‐Luise, Amitabh Gaur, Anil Pahuja, Aldons J. Lusis, & Wanda F. Reynolds. (2001). Mice lacking myeloperoxidase are more susceptible to experimental autoimmune encephalomyelitis. Journal of Neuroimmunology. 112(1-2). 97–105. 68 indexed citations
17.
Boehme, Stefen A., Amitabh Gaur, Paul D. Crowe, et al.. (1997). Immunosuppressive Phenotype of Corticotropin-Releasing Factor Transgenic Mice Is Reversed by Adrenalectomy. Cellular Immunology. 176(2). 103–112. 17 indexed citations
18.
Gaur, Amitabh, Stefen A. Boehme, Derek Chalmers, et al.. (1997). Amelioration of relapsing experimental autoimmune encephalomyelitis with altered myelin basic protein peptides involves different cellular mechanisms. Journal of Neuroimmunology. 74(1-2). 149–158. 99 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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