Caleb K. Stein

444 total citations
9 papers, 128 citations indexed

About

Caleb K. Stein is a scholar working on Molecular Biology, Hematology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Caleb K. Stein has authored 9 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Hematology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Caleb K. Stein's work include Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (6 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Caleb K. Stein is often cited by papers focused on Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (6 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Caleb K. Stein collaborates with scholars based in United States, Canada and Germany. Caleb K. Stein's co-authors include Erin W. Meermeier, P. Leif Bergsagel, Meaghen E. Sharik, Marta Chesi, Seth J. Welsh, Daniel L. Riggs, Victoria M. Garbitt, Chang‐Xin Shi, Bryant Chau and Matthew L. Wheeler and has published in prestigious journals such as Nature Communications, Blood and Haematologica.

In The Last Decade

Caleb K. Stein

9 papers receiving 128 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Caleb K. Stein United States	5	67	62	55	41	32	9	128
Tonia Nesheiwat United States	9	153 2.3×	75 1.2×	110 2.0×	20 0.5×	37 1.2×	22	195
Seth J. Welsh United States	4	59 0.9×	63 1.0×	42 0.8×	42 1.0×	52 1.6×	10	135
Bashi Ratterree United States	5	57 0.9×	40 0.6×	81 1.5×	8 0.2×	36 1.1×	8	139
Alexandra M. Poos Germany	6	92 1.4×	131 2.1×	120 2.2×	17 0.4×	56 1.8×	19	204
Grace Ward United States	8	61 0.9×	28 0.5×	121 2.2×	6 0.1×	86 2.7×	12	195
John C. Byrd United States	5	43 0.6×	27 0.4×	69 1.3×	7 0.2×	57 1.8×	10	142
Helen X Chen United States	6	71 1.1×	21 0.3×	68 1.2×	6 0.1×	21 0.7×	8	127
Bofei Wang United States	8	21 0.3×	26 0.4×	89 1.6×	32 0.8×	38 1.2×	24	151
E Boyd United States	2	32 0.5×	16 0.3×	62 1.1×	54 1.3×	36 1.1×	2	112
Omar Castañeda Puglianini United States	9	122 1.8×	88 1.4×	88 1.6×	9 0.2×	25 0.8×	30	194

Countries citing papers authored by Caleb K. Stein

Since Specialization

Citations

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

Fields of papers citing papers by Caleb K. Stein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Caleb K. Stein. 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 Caleb K. Stein. The network helps show where Caleb K. Stein may publish in the future.

Co-authorship network of co-authors of Caleb K. Stein

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

All Works

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9 of 9 papers shown

Stein, Caleb K., et al.. (2024). Abundance of C1q Expressing Macrophages Promotes Resistance to Modern Therapy. Blood. 144(Supplement 1). 3275–3275. 1 indexed citations

Maura, Francesco, David G. Coffey, Caleb K. Stein, et al.. (2024). The genomic landscape of Vk*MYC myeloma highlights shared pathways of transformation between mice and humans. Nature Communications. 15(1). 3844–3844. 4 indexed citations

Maura, Francesco, David G. Coffey, Esteban Braggio, et al.. (2022). Vκ*MYC Mouse Model Recapitulates Key Genomic Defining Events in Multiple Myeloma. Blood. 140(Supplement 1). 1540–1541. 1 indexed citations

Meermeier, Erin W., Seth J. Welsh, Meaghen E. Sharik, et al.. (2021). Tumor Burden Limits Bispecific Antibody Efficacy through T-cell Exhaustion Averted by Concurrent Cytotoxic Therapy. Blood Cancer Discovery. 2(4). 354–369. 67 indexed citations

Welsh, Seth J., Daniel L. Riggs, Erin W. Meermeier, et al.. (2021). Disrupting Ectopic Super-Enhancers to Treat Multiple Myeloma. Blood. 138(Supplement 1). 1593–1593. 1 indexed citations

Chesi, Marta, Caleb K. Stein, Victoria M. Garbitt, et al.. (2020). Monosomic Loss of MIR15A/MIR16-1 Is a Driver of Multiple Myeloma Proliferation and Disease Progression. Blood Cancer Discovery. 1(1). 68–81. 20 indexed citations

Campos, Cecília Bonolo de, Yuan Xiao Zhu, Nikolai Sepetov, et al.. (2019). Identification of PIKfyve kinase as a target in multiple myeloma. Haematologica. 105(6). 1641–1649. 24 indexed citations

Stein, Caleb K., et al.. (2019). Chimeric Antigen Receptor T Cell Therapy Pipeline at a Glance: A Retrospective and Systematic Analysis from Clinicaltrials.Gov. Blood. 134(Supplement_1). 5629–5629. 5 indexed citations

Neri, Paola, Ranjan Maity, Caleb K. Stein, et al.. (2017). Transcriptional Plasticity Compensates for Ikaros and Aiolos Proteasomal Degradation and Mediates Resistance to IMiDs in Multiple Myeloma (MM). Blood. 130(Suppl_1). 63–63. 5 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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