Deepika Cattry

4.7k total citations · 1 hit paper
4 papers, 2.7k citations indexed

About

Deepika Cattry is a scholar working on Pathology and Forensic Medicine, Oncology and Hematology. According to data from OpenAlex, Deepika Cattry has authored 4 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Oncology and 1 paper in Hematology. Recurrent topics in Deepika Cattry's work include Cancer Immunotherapy and Biomarkers (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Immune Cell Function and Interaction (1 paper). Deepika Cattry is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Lymphoma Diagnosis and Treatment (3 papers) and Immune Cell Function and Interaction (1 paper). Deepika Cattry collaborates with scholars based in United States and Belgium. Deepika Cattry's co-authors include Stephen M. Ansell, Margaret A. Shipp, Emma C. Scott, Scott J. Rodig, Bjoern Chapuy, Azra H. Ligon, Stephen J. Schuster, Ivan Borrello, Alexander M. Lesokhin and Joseph F. Grosso and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Deepika Cattry

4 papers receiving 2.6k 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.

PD-1 Blockade with Nivolumab in Relapsed or Refractory Hodgkin's Lymphoma

2014 2.7k citations Stephen M. Ansell, Alexander M. Lesokhin et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepika Cattry United States	3	2.2k	1.2k	906	333	311	4	2.7k
Heather H. Sun United States	14	1.6k 0.7×	760 0.6×	1.1k 1.2×	335 1.0×	340 1.1×	19	2.6k
Emma C. Scott United States	10	2.3k 1.0×	1.3k 1.0×	914 1.0×	346 1.0×	391 1.3×	27	3.2k
Luís Colomo Spain	25	1.6k 0.7×	779 0.6×	1.9k 2.1×	165 0.5×	501 1.6×	66	2.7k
Alex F. Herrera United States	28	2.5k 1.2×	642 0.5×	2.1k 2.3×	218 0.7×	587 1.9×	239	3.5k
Treeve Currie United States	8	1.0k 0.5×	631 0.5×	791 0.9×	118 0.4×	275 0.9×	9	1.7k
Robert Redd United States	23	1.5k 0.7×	888 0.7×	1.3k 1.4×	196 0.6×	636 2.0×	102	2.7k
Margaretha G.M. Roemer United States	8	1.3k 0.6×	745 0.6×	1.2k 1.3×	109 0.3×	350 1.1×	11	2.2k
Jonathon B. Cohen United States	23	1.6k 0.8×	579 0.5×	1.7k 1.9×	242 0.7×	725 2.3×	131	2.4k
Patricia Marinello United States	21	1.5k 0.7×	409 0.3×	704 0.8×	314 0.9×	153 0.5×	90	1.9k
Maria Calaminici United Kingdom	19	985 0.5×	639 0.5×	1.3k 1.4×	123 0.4×	547 1.8×	44	1.8k

Countries citing papers authored by Deepika Cattry

Since Specialization

Citations

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

Fields of papers citing papers by Deepika Cattry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepika Cattry

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

All Works

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4 of 4 papers shown

1.

Funt, Samuel A., David B. Page, Deepika Cattry, et al.. (2015). The Long PD-1 Receptor Binding Kinetics of Nivolumab May Increase Efficacy of Subsequent Therapy in Relapsed and Refractory Multiple Myeloma Patients. Blood. 126(23). 3057–3057. 3 indexed citations

2.

Ansell, Stephen M., Alexander M. Lesokhin, Ivan Borrello, et al.. (2014). PD-1 Blockade with Nivolumab in Relapsed or Refractory Hodgkin's Lymphoma. New England Journal of Medicine. 372(4). 311–319. 2663 indexed citations breakdown →

3.

Armand, Philippe, Stephen M. Ansell, Alexander M. Lesokhin, et al.. (2014). Nivolumab in Patients with Relapsed or Refractory Hodgkin Lymphoma - Preliminary Safety, Efficacy and Biomarker Results of a Phase I Study. Blood. 124(21). 289–289. 15 indexed citations

4.

Lesokhin, Alexander M., Martin Gutierrez, Ahmad Halwani, et al.. (2013). A phase I dose-escalation study evaluating the effects of nivolumab (anti-PD-1; BMS-936558; ONO-4538) in patients (pts) with select relapsed or refractory hematologic malignancies.. Journal of Clinical Oncology. 31(15_suppl). TPS3113–TPS3113. 2 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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