Chad M. McCall

2.9k total citations · 2 hit papers
39 papers, 2.1k citations indexed

About

Chad M. McCall is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Chad M. McCall has authored 39 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 9 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Chad M. McCall's work include Acute Myeloid Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and Ubiquitin and proteasome pathways (5 papers). Chad M. McCall is often cited by papers focused on Acute Myeloid Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and Ubiquitin and proteasome pathways (5 papers). Chad M. McCall collaborates with scholars based in United States, China and Germany. Chad M. McCall's co-authors include Yue Xiong, Tomohiko Ohta, Yizhou He, Yaxue Zeng, Ralph H. Hruban, Olca Baştürk, Laura H. Tang, David S. Klimstra, Trevor Price and Dorothy A. Sipkins and has published in prestigious journals such as Nature, Science and Genes & Development.

In The Last Decade

Chad M. McCall

37 papers receiving 2.1k citations

Hit Papers

The High-grade (WHO G3) Pancreatic Neuroendocrine Tumor C... 2015 2026 2018 2022 2015 2024 100 200 300

Peers

Chad M. McCall
A. Thomas Look United States
Archibald S. Perkins United States
K Huebner United States
Danny Wangsa United States
Peter B. Challoner United States
Chad M. McCall
Citations per year, relative to Chad M. McCall Chad M. McCall (= 1×) peers Marc Lipinski

Countries citing papers authored by Chad M. McCall

Since Specialization
Citations

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

Fields of papers citing papers by Chad M. McCall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chad M. McCall. 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 Chad M. McCall. The network helps show where Chad M. McCall may publish in the future.

Co-authorship network of co-authors of Chad M. McCall

This figure shows the co-authorship network connecting the top 25 collaborators of Chad M. McCall. A scholar is included among the top collaborators of Chad M. McCall 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 Chad M. McCall. Chad M. McCall 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.
Mancini, Melina Cristina, Chad M. McCall, Robert C. Noland, Wagner S. Dantas, & Timothy D. Heden. (2025). Targeting mitochondrial phosphatidylethanolamine alters mitochondrial metabolism and proliferation in hepatocellular carcinoma. Oncogenesis. 15(1). 3–3.
2.
Whiteley, Andrew E., Danhui Ma, Seok‐Yeong Yu, et al.. (2024). Breast cancer exploits neural signaling pathways for bone-to-meninges metastasis. Science. 384(6702). eadh5548–eadh5548. 38 indexed citations breakdown →
3.
Atrash, Shebli, Myra Robinson, Barry Paul, et al.. (2023). Bone marrow Ki‐67 index is of prognostic value in newly diagnosed multiple myeloma. European Journal Of Haematology. 111(3). 373–381. 5 indexed citations
4.
Babakoohi, Shahab & Chad M. McCall. (2022). Dermatophytosis Incognito Mimicking Cutaneous T-Cell Lymphoma. Cureus. 14(6). e25809–e25809. 3 indexed citations
5.
Xian, Rena R., Lisa Haley, Raluca Yonescu, et al.. (2020). CREBBP and STAT6 co-mutation and 16p13 and 1p36 loss define the t(14;18)-negative diffuse variant of follicular lymphoma. Blood Cancer Journal. 10(6). 69–69. 35 indexed citations
6.
Kam, Angel Y.F., et al.. (2019). Targeting High Mobility Group Box-1 (HMGB1) Promotes Cell Death in Myelodysplastic Syndrome. Clinical Cancer Research. 25(13). 4155–4167. 22 indexed citations
8.
Proia, Alan D., Chad M. McCall, Jane S. Kim, & Ilya M. Leyngold. (2019). Idiopathic orbital inflammation with bone destruction and extension into the paranasal sinuses. Survey of Ophthalmology. 64(3). 365–379. 3 indexed citations
9.
Lin, Kevin, Abigail Xie, Justine C. Rutter, et al.. (2019). Systematic Dissection of the Metabolic-Apoptotic Interface in AML Reveals Heme Biosynthesis to Be a Regulator of Drug Sensitivity. Cell Metabolism. 29(5). 1217–1231.e7. 69 indexed citations
10.
Thompson, Atalie C., Chad M. McCall, & Alan D. Proia. (2018). Beneath the Retinal Pigment Epithelium: Histopathologic Findings in Metastatic Extranodal Natural Killer/T-Cell Lymphoma, Nasal Type. Ocular Oncology and Pathology. 4(6). 388–394. 6 indexed citations
11.
Cope, Heidi, Rebecca C. Spillmann, Nicholas Stong, et al.. (2018). Further evidence for the involvement of EFL1 in a Shwachman–Diamond-like syndrome and expansion of the phenotypic features. Molecular Case Studies. 4(5). a003046–a003046. 22 indexed citations
12.
Baştürk, Olca, Zhaohai Yang, Laura H. Tang, et al.. (2015). The High-grade (WHO G3) Pancreatic Neuroendocrine Tumor Category Is Morphologically and Biologically Heterogenous and Includes Both Well Differentiated and Poorly Differentiated Neoplasms. The American Journal of Surgical Pathology. 39(5). 683–690. 341 indexed citations breakdown →
13.
McCall, Chad M., Stacy Mosier, Marija Debeljak, et al.. (2014). False Positives in Multiplex PCR-Based Next-Generation Sequencing Have Unique Signatures. Journal of Molecular Diagnostics. 16(5). 541–549. 35 indexed citations
14.
McCall, Chad M., Chanjuan Shi, Toby C. Cornish, et al.. (2013). Grading of Well-differentiated Pancreatic Neuroendocrine Tumors Is Improved by the Inclusion of Both Ki67 Proliferative Index and Mitotic Rate. The American Journal of Surgical Pathology. 37(11). 1671–1677. 128 indexed citations
15.
McCall, Chad M., Shiyama Mudali, R.J. Arceci, et al.. (2012). Flow Cytometric Findings in Hemophagocytic Lymphohistiocytosis. American Journal of Clinical Pathology. 137(5). 786–794. 28 indexed citations
16.
McCall, Chad M., Chanjuan Shi, Alison P. Klein, et al.. (2012). Serotonin expression in pancreatic neuroendocrine tumors correlates with a trabecular histologic pattern and large duct involvement. Human Pathology. 43(8). 1169–1176. 46 indexed citations
17.
Bandari, Jathin, et al.. (2011). Management of Primary Squamous Cell Carcinoma at the Mucocutaneous Junction of an Ileal Conduit. Urology. 78(6). 1229–1231. 6 indexed citations
18.
Zhang, Yu, Suhua Feng, Fangfang Chen, et al.. (2008). Arabidopsis DDB1-CUL4 ASSOCIATED FACTOR1 Forms a Nuclear E3 Ubiquitin Ligase with DDB1 and CUL4 That Is Involved in Multiple Plant Developmental Processes. The Plant Cell. 20(6). 1437–1455. 128 indexed citations
19.
He, Yizhou, et al.. (2006). DDB1 functions as a linker to recruit receptor WD40 proteins to CUL4–ROC1 ubiquitin ligases. Genes & Development. 20(21). 2949–2954. 269 indexed citations
20.
Bassett, Ekaterina, Alexandra Vaisman, Chad M. McCall, et al.. (2002). Frameshifts and deletions during in vitro translesion synthesis past Pt–DNA adducts by DNA polymerases β and η. DNA repair. 1(12). 1003–1016. 41 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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