Martin Chopra

898 total citations
27 papers, 551 citations indexed

About

Martin Chopra is a scholar working on Oncology, Immunology and Hematology. According to data from OpenAlex, Martin Chopra has authored 27 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Immunology and 9 papers in Hematology. Recurrent topics in Martin Chopra's work include Hematopoietic Stem Cell Transplantation (6 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (5 papers). Martin Chopra is often cited by papers focused on Hematopoietic Stem Cell Transplantation (6 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (5 papers). Martin Chopra collaborates with scholars based in Germany, New Zealand and United States. Martin Chopra's co-authors include Dieter Schrenk, Stefan K. Bohlander, Andreas Beilhack, Carina A. Bäuerlein, Anja Mottok, Hermann Einsele, Harald Wajant, Arun Dharmarajan, Miriam Ritz and Gregor Meiß and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Martin Chopra

25 papers receiving 543 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Chopra Germany 15 218 180 137 118 86 27 551
Guoping Fu United States 14 265 1.2× 249 1.4× 67 0.5× 109 0.9× 25 0.3× 34 723
Ankit Srivastava Sweden 12 192 0.9× 170 0.9× 98 0.7× 95 0.8× 17 0.2× 23 469
Joshua Brown-Clay United States 6 106 0.5× 298 1.7× 140 1.0× 97 0.8× 17 0.2× 7 550
Y. Kuroda Japan 14 69 0.3× 215 1.2× 81 0.6× 50 0.4× 49 0.6× 56 502
Parvesh Chaudhry Canada 14 256 1.2× 419 2.3× 128 0.9× 130 1.1× 36 0.4× 19 835
Silvia Viaggi Italy 15 73 0.3× 366 2.0× 271 2.0× 134 1.1× 14 0.2× 35 664
Michelle Cicchini United States 9 60 0.3× 412 2.3× 160 1.2× 188 1.6× 16 0.2× 9 727
Bo Xia United States 12 120 0.6× 244 1.4× 49 0.4× 85 0.7× 12 0.1× 16 461
Kaori Ishihara Japan 9 37 0.2× 200 1.1× 67 0.5× 62 0.5× 178 2.1× 10 601
Juwon Jang South Korea 12 78 0.4× 350 1.9× 84 0.6× 108 0.9× 54 0.6× 17 542

Countries citing papers authored by Martin Chopra

Since Specialization
Citations

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

Fields of papers citing papers by Martin Chopra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Chopra

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Chopra. A scholar is included among the top collaborators of Martin Chopra 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 Martin Chopra. Martin Chopra 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.
Bäuerlein, Carina A., Zeinab Mokhtari, Christian Brede, et al.. (2021). A T-Cell Surface Marker Panel Predicts Murine Acute Graft-Versus-Host Disease. Frontiers in Immunology. 11. 593321–593321. 4 indexed citations
2.
Green, Taryn N., Martin Chopra, Nicholas Knowlton, et al.. (2020). N-Methyl-D-Aspartate Receptor Hypofunction in Meg-01 Cells Reveals a Role for Intracellular Calcium Homeostasis in Balancing Megakaryocytic-Erythroid Differentiation. Thrombosis and Haemostasis. 120(4). 671–686. 11 indexed citations
3.
Chopra, Martin. (2020). 2019 San Antonio Breast Cancer Symposium: San Antonio, TX, USA, 10–14 December 2019. Targeted Oncology. 15(1). 7–9.
5.
Chopra, Martin & Stefan K. Bohlander. (2019). The cell of origin and the leukemia stem cell in acute myeloid leukemia. Genes Chromosomes and Cancer. 58(12). 850–858. 60 indexed citations
6.
Chopra, Martin. (2018). Annual Congress of the European Society for Medical Oncology (ESMO): Munich, Germany, 19–23 October 2018. Targeted Oncology. 13(6). 673–677. 1 indexed citations
7.
Chopra, Martin. (2016). Annual Congress of the European Society for Medical Oncology (ESMO): Copenhagen, Denmark; 7–11 October 2016. Targeted Oncology. 11(6). 705–709. 1 indexed citations
8.
Chopra, Martin, Biju George, Aby Abraham, et al.. (2016). Efficacy of narrow band UVB in the treatment of cutaneous GvHD: an Indian experience. Bone Marrow Transplantation. 51(7). 988–990. 7 indexed citations
9.
Chopra, Martin, et al.. (2015). Interleukin‐2 critically regulates bone marrow erythropoiesis and prevents anemia development. European Journal of Immunology. 45(12). 3362–3374. 15 indexed citations
10.
Chopra, Martin & Stefan K. Bohlander. (2014). Disturbing the histone code in leukemia: translocations and mutations affecting histone methyl transferases. Cancer Genetics. 208(5). 192–205. 14 indexed citations
11.
Krause, Luciana Maria Fontanari, Alexandre Krause, Jana L. Mooster, et al.. (2014). Identification and characterization of OSTL (RNF217) encoding a RING-IBR-RING protein adjacent to a translocation breakpoint involving ETV6 in childhood ALL. Scientific Reports. 4(1). 6565–6565. 16 indexed citations
12.
Bäuerlein, Carina A., Simone S. Riedel, Jeanette Baker, et al.. (2013). A diagnostic window for the treatment of acute graft-versus-host disease prior to visible clinical symptoms in a murine model. BMC Medicine. 11(1). 134–134. 15 indexed citations
13.
Chopra, Martin, Sabrina Kraus, Miriam Ritz, et al.. (2013). Non-Invasive Bioluminescence Imaging to Monitor the Immunological Control of a Plasmablastic Lymphoma-Like B Cell Neoplasia after Hematopoietic Cell Transplantation. PLoS ONE. 8(12). e81320–e81320. 5 indexed citations
14.
Chopra, Martin, Simone S. Riedel, Stefanie Krieger, et al.. (2013). Tumor necrosis factor receptor 2-dependent homeostasis of regulatory T cells as a player in TNF-induced experimental metastasis. Carcinogenesis. 34(6). 1296–1303. 81 indexed citations
15.
Chopra, Martin, Isabell Lang, Steffen Salzmann, et al.. (2013). Tumor Necrosis Factor Induces Tumor Promoting and Anti-Tumoral Effects on Pancreatic Cancer via TNFR1. PLoS ONE. 8(9). e75737–e75737. 23 indexed citations
16.
Brede, Christian, Simone S. Riedel, Carina A. Bäuerlein, et al.. (2012). Depletion of Host Dendritic Cells During the Effector Phase of GVHD Enhances Acute GVHD and Mortality. Biology of Blood and Marrow Transplantation. 18(2). S329–S329. 1 indexed citations
17.
Chopra, Martin & Dieter Schrenk. (2011). Dioxin toxicity, aryl hydrocarbon receptor signaling, and apoptosis—Persistent pollutants affect programmed cell death. Critical Reviews in Toxicology. 41(4). 292–320. 85 indexed citations
18.
Chopra, Martin, et al.. (2010). Inhibition of apoptosis by 2,3,7,8-tetrachlorodibenzo-p-dioxin depends on protein biosynthesis. Cell Biology and Toxicology. 26(4). 391–401. 17 indexed citations
19.
Chopra, Martin, et al.. (2009). Characterization of ochratoxin A-induced apoptosis in primary rat hepatocytes. Cell Biology and Toxicology. 26(3). 239–254. 42 indexed citations
20.
Chopra, Martin, Arun Dharmarajan, Gregor Meiß, & Dieter Schrenk. (2009). Inhibition of UV-C Light–Induced Apoptosis in Liver Cells by 2,3,7,8-Tetrachlorodibenzo-p-Dioxin. Toxicological Sciences. 111(1). 49–63. 37 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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