Christopher R. Marlein

1.5k total citations
15 papers, 1.0k citations indexed

About

Christopher R. Marlein is a scholar working on Hematology, Immunology and Molecular Biology. According to data from OpenAlex, Christopher R. Marlein has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 6 papers in Immunology and 4 papers in Molecular Biology. Recurrent topics in Christopher R. Marlein's work include Acute Myeloid Leukemia Research (8 papers), Immune cells in cancer (4 papers) and Bone and Joint Diseases (3 papers). Christopher R. Marlein is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Immune cells in cancer (4 papers) and Bone and Joint Diseases (3 papers). Christopher R. Marlein collaborates with scholars based in United Kingdom, United States and Germany. Christopher R. Marlein's co-authors include Kristian M. Bowles, Stuart A. Rushworth, Rachel E. Piddock, Lyubov Zaitseva, Manar Shafat, Dylan R. Edwards, Stephen D. Robinson, Zhigang Zhou, Matthew Lawes and Charlotte Hellmich and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Christopher R. Marlein

15 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher R. Marlein United Kingdom	9	538	405	256	198	170	15	1.0k
Rachel E. Piddock United Kingdom	10	476 0.9×	416 1.0×	215 0.8×	183 0.9×	176 1.0×	14	895
Nicolas Prévost United States	14	440 0.8×	552 1.4×	142 0.6×	176 0.9×	162 1.0×	21	1.2k
Mariska G. Rondaij Netherlands	12	477 0.9×	273 0.7×	107 0.4×	180 0.9×	63 0.4×	17	974
Gerardo Ferrer United States	19	439 0.8×	186 0.5×	278 1.1×	386 1.9×	398 2.3×	45	1.2k
Jinsheng Huang China	15	438 0.8×	163 0.4×	157 0.6×	63 0.3×	201 1.2×	43	863
Yves Rival France	12	521 1.0×	148 0.4×	124 0.5×	249 1.3×	70 0.4×	15	1.1k
Kyung Chin United States	17	480 0.9×	762 1.9×	126 0.5×	126 0.6×	408 2.4×	28	1.3k
Yuan Xiao Zhu United States	14	855 1.6×	207 0.5×	150 0.6×	134 0.7×	108 0.6×	26	1.1k
Sarah L. Tressel United States	11	474 0.9×	124 0.3×	175 0.7×	188 0.9×	47 0.3×	13	1.0k
Xian Zhang China	17	354 0.7×	103 0.3×	200 0.8×	67 0.3×	237 1.4×	40	843

Countries citing papers authored by Christopher R. Marlein

Since Specialization

Citations

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

Fields of papers citing papers by Christopher R. Marlein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher R. Marlein. 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 Christopher R. Marlein. The network helps show where Christopher R. Marlein may publish in the future.

Co-authorship network of co-authors of Christopher R. Marlein

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

All Works

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15 of 15 papers shown

Gao, Xin, Philip E. Boulais, Dachuan Zhang, et al.. (2024). Regulation of the hematopoietic stem cell pool by C-Kit–associated trogocytosis. Science. 385(6709). eadp2065–eadp2065. 6 indexed citations

Marlein, Christopher R., Rachel E. Piddock, Lyubov Zaitseva, et al.. (2019). CD38-Driven Mitochondrial Trafficking Promotes Bioenergetic Plasticity in Multiple Myeloma. Cancer Research. 79(9). 2285–2297. 165 indexed citations

Mistry, Jayna J., Christopher R. Marlein, Jamie A Moore, et al.. (2019). ROS-mediated PI3K activation drives mitochondrial transfer from stromal cells to hematopoietic stem cells in response to infection. Proceedings of the National Academy of Sciences. 116(49). 24610–24619. 95 indexed citations

Gao, Xin, Philip E. Boulais, Masato Tanaka, Christopher R. Marlein, & Paul S. Frenette. (2019). Macrophage Transfer to HSCs Assigns Residence in Bone Marrow. Blood. 134(Supplement_1). 276–276. 1 indexed citations

Mistry, Jayna J., Charlotte Hellmich, Jamie A Moore, et al.. (2019). Daratumumab Inhibits AML Metabolic Capacity and Tumor Growth through Inhibition of CD38 Mediated Mitochondrial Transfer from Bone Marrow Stromal Cells to Blasts in the Leukemic Microenvironment. Blood. 134(Supplement_1). 1385–1385. 7 indexed citations

Abdul‐Aziz, Amina, Manar Shafat, Yu Sun, et al.. (2018). HIF1α drives chemokine factor pro-tumoral signaling pathways in acute myeloid leukemia. Oncogene. 37(20). 2676–2686. 27 indexed citations

Marlein, Christopher R., Lyubov Zaitseva, Rachel E. Piddock, et al.. (2018). PGC-1α driven mitochondrial biogenesis in stromal cells underpins mitochondrial trafficking to leukemic blasts. Leukemia. 32(9). 2073–2077. 21 indexed citations

Abdul‐Aziz, Amina, Yu Sun, Charlotte Hellmich, et al.. (2018). Acute myeloid leukemia induces protumoral p16INK4a-driven senescence in the bone marrow microenvironment. Blood. 133(5). 446–456. 75 indexed citations

Marlein, Christopher R., Lyubov Zaitseva, Rachel E. Piddock, et al.. (2017). PGC1α Driven Mitochondrial Biogenesis within the Bone Marrow Stromal Cells of the Acute Myeloid Leukemia Micro-Environment Is a Pre-Requisite for Mitochondrial Transfer to Leukemic Blasts. Blood. 130. 3927–3927. 2 indexed citations

10.

Piddock, Rachel E., Christopher R. Marlein, Stephen D. Robinson, et al.. (2017). PI3Kδ and PI3Kγ isoforms have distinct functions in regulating pro-tumoural signalling in the multiple myeloma microenvironment. Blood Cancer Journal. 7(3). e539–e539. 23 indexed citations

11.

Shafat, Manar, Thomas Oellerich, Sebastian Mohr, et al.. (2017). Leukemic blasts program bone marrow adipocytes to generate a protumoral microenvironment. Blood. 129(10). 1320–1332. 252 indexed citations

12.

Marlein, Christopher R., Fiona M. Frame, Vincent M. Mann, et al.. (2017). Inhibition of the PI3K/AKT/mTOR pathway activates autophagy and compensatory Ras/Raf/MEK/ERK signalling in prostate cancer. Oncotarget. 8(34). 56698–56713. 102 indexed citations

13.

Marlein, Christopher R., Lyubov Zaitseva, Rachel E. Piddock, et al.. (2017). NADPH oxidase-2 derived superoxide drives mitochondrial transfer from bone marrow stromal cells to leukemic blasts. Blood. 130(14). 1649–1660. 250 indexed citations

14.

Shafat, Manar, Thomas Oellerich, Sebastian Mohr, et al.. (2017). Abstract 4327: Bone marrow adipocytes drive transcriptional changes in leukemic blasts to enhance their capacity to derive energy from free fatty acid metabolism. Cancer Research. 77(13_Supplement). 4327–4327. 1 indexed citations

15.

Marlein, Christopher R., Lyubov Zaitseva, Rachel E. Piddock, et al.. (2016). Bone Marrow Mesenchymal Stromal Cells Transfer Their Mitochondria to Acute Myeloid Leukaemia Blasts to Support Their Proliferation and Survival. Blood. 128(22). 772–772. 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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