Mark C. Connelly

4.5k total citations · 1 hit paper
40 papers, 3.5k citations indexed

About

Mark C. Connelly is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Mark C. Connelly has authored 40 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 11 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Mark C. Connelly's work include Cancer Cells and Metastasis (16 papers), Cancer Genomics and Diagnostics (6 papers) and Multiple Myeloma Research and Treatments (4 papers). Mark C. Connelly is often cited by papers focused on Cancer Cells and Metastasis (16 papers), Cancer Genomics and Diagnostics (6 papers) and Multiple Myeloma Research and Treatments (4 papers). Mark C. Connelly collaborates with scholars based in United States, Netherlands and Italy. Mark C. Connelly's co-authors include Leon W.M.M. Terstappen, Michael Craig Miller, Madeline Repollet, Jeri Matera, W. Jeffrey Allard, Jonathan W. Uhr, Chinthalapally V. Rao, Arjan G.J. Tibbe, Gerald V. Doyle and Denis A. Smirnov and has published in prestigious journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

In The Last Decade

Mark C. Connelly

40 papers receiving 3.4k 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.

Tumor Cells Circulate in the Peripheral Blood of All Major Carcinomas but not in Healthy Subjects or Patients With Nonmalignant Diseases

2004 2.0k citations W. Jeffrey Allard, Jeri Matera et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark C. Connelly United States	23	2.4k	1.6k	952	837	750	40	3.5k
Françoise Farace France	31	1.9k 0.8×	1.2k 0.7×	1.1k 1.1×	843 1.0×	478 0.6×	93	3.3k
Patricia de Crémoux France	45	3.1k 1.3×	2.2k 1.4×	1.8k 1.9×	941 1.1×	466 0.6×	154	6.0k
Joost van Gorp Netherlands	22	2.3k 1.0×	854 0.5×	1.3k 1.3×	633 0.8×	859 1.1×	42	4.2k
Larry E. Morrison United States	28	1.7k 0.7×	1.1k 0.7×	1.6k 1.7×	526 0.6×	330 0.4×	64	3.7k
Vincent L. Morris Canada	25	1.5k 0.6×	833 0.5×	1.3k 1.4×	331 0.4×	286 0.4×	44	3.1k
Elena F. Brachtel United States	35	2.8k 1.2×	2.1k 1.4×	1.6k 1.7×	743 0.9×	623 0.8×	89	5.7k
Jerald J. Killion United States	25	1.2k 0.5×	708 0.4×	1.5k 1.6×	702 0.8×	220 0.3×	68	3.1k
Kunyu Yang China	36	1.7k 0.7×	831 0.5×	1.5k 1.5×	1.5k 1.8×	619 0.8×	173	4.6k
Masayuki Fujii Japan	18	2.5k 1.1×	875 0.6×	1.7k 1.8×	274 0.3×	1.1k 1.5×	49	4.1k
Douglas R. Fullen United States	32	3.6k 1.5×	1.1k 0.7×	2.1k 2.3×	386 0.5×	255 0.3×	130	5.5k

Countries citing papers authored by Mark C. Connelly

Since Specialization

Citations

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

Fields of papers citing papers by Mark C. Connelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark C. Connelly. 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 Mark C. Connelly. The network helps show where Mark C. Connelly may publish in the future.

Co-authorship network of co-authors of Mark C. Connelly

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

All Works

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20 of 20 papers shown

Darga, Elizabeth P., Fang Fang, Kelley M. Kidwell, et al.. (2021). PD-L1 expression on circulating tumor cells and platelets in patients with metastatic breast cancer. PLoS ONE. 16(11). e0260124–e0260124. 38 indexed citations

Muse, Evan D., Haiying Wang, Paddy Barrett, et al.. (2017). A Whole Blood Molecular Signature for Acute Myocardial Infarction. Scientific Reports. 7(1). 59 indexed citations

Salgia, Ravi, Michael McCleod, John R. Stille, et al.. (2017). Prognostic and predictive value of circulating tumor cells and CXCR4 expression as biomarkers for a CXCR4 peptide antagonist in combination with carboplatin-etoposide in small cell lung cancer: exploratory analysis of a phase II study. Investigational New Drugs. 35(3). 334–344. 35 indexed citations

Aggarwal, Charu, Xingmei Wang, Anjana Ranganathan, et al.. (2017). Circulating tumor cells as a predictive biomarker in patients with small cell lung cancer undergoing chemotherapy. Lung Cancer. 112. 118–125. 44 indexed citations

Zhang, Tian, Rengasamy Boominathan, Brad Foulk, et al.. (2016). Development of a Novel c-MET–Based CTC Detection Platform. Molecular Cancer Research. 14(6). 539–547. 36 indexed citations

Paoletti, Costanza, Maria C. Muñiz, Dafydd G. Thomas, et al.. (2014). Development of Circulating Tumor Cell-Endocrine Therapy Index in Patients with Hormone Receptor–Positive Breast Cancer. Clinical Cancer Research. 21(11). 2487–2498. 104 indexed citations

Thompson, Jeffrey C., Gordon H. Yu, Anil Vachani, et al.. (2013). Use of Circulating Tumor Cell Technology (CELLSEARCH) for the Diagnosis of Malignant Pleural Effusions. Annals of the American Thoracic Society. 10(6). 582–589. 19 indexed citations

Bitting, Rhonda L., Rengasamy Boominathan, Chandra Rao, et al.. (2013). Development of a method to isolate circulating tumor cells using mesenchymal-based capture. Methods. 64(2). 129–136. 35 indexed citations

Smerage, Jeffrey B., G. Thomas Budd, Gerald V. Doyle, et al.. (2013). Monitoring apoptosis and Bcl‐2 on circulating tumor cells in patients with metastatic breast cancer. Molecular Oncology. 7(3). 680–692. 81 indexed citations

10.

Connelly, Mark C., Yixin Wang, Gerald V. Doyle, Leon W.M.M. Terstappen, & Robert McCormack. (2009). Re: Anti–Epithelial Cell Adhesion Molecule Antibodies and the Detection of Circulating Normal-Like Breast Tumor Cells. JNCI Journal of the National Cancer Institute. 101(12). 895–895. 9 indexed citations

11.

Connelly, Mark C., et al.. (2009). Commentary the molecular characterization of 19 breast cancer cell lines by Sieuwerts et al.. JNCI Journal of the National Cancer Institute. 101. 895. 5 indexed citations

12.

Zweitzig, Daniel R., Denis A. Smirnov, Mark C. Connelly, et al.. (2007). Physiological stress induces the metastasis marker AGR2 in breast cancer cells. Molecular and Cellular Biochemistry. 306(1-2). 255–260. 64 indexed citations

13.

Smirnov, Denis A., Bradley W. Foulk, Gerald V. Doyle, et al.. (2006). Global Gene Expression Profiling of Circulating Endothelial Cells in Patients with Metastatic Carcinomas. Cancer Research. 66(6). 2918–2922. 73 indexed citations

14.

Smirnov, Denis A., Daniel R. Zweitzig, Bradley W. Foulk, et al.. (2005). Global Gene Expression Profiling of Circulating Tumor Cells. Cancer Research. 65(12). 4993–4997. 268 indexed citations

15.

Allard, W. Jeffrey, Jeri Matera, Michael Craig Miller, et al.. (2004). Tumor Cells Circulate in the Peripheral Blood of All Major Carcinomas but not in Healthy Subjects or Patients With Nonmalignant Diseases. Clinical Cancer Research. 10(20). 6897–6904. 2015 indexed citations breakdown →

16.

Allard, W. Jeffrey, Jeri Matera, Michael Craig Miller, et al.. (2004). Tumor cells circulate in the peripheral blood of all major carcinomas but not in healthy subjects or patients with non-malignant diseases. Journal of Clinical Oncology. 22(14_suppl). 9552–9552. 32 indexed citations

17.

Connelly, Mark C., et al.. (1996). Rapid single-step method for flow cytometric detection of surface and intracellular antigens using whole blood. Cytometry. 25(1). 58–70. 23 indexed citations

18.

Connelly, Mark C., Janis V. Giorgi, Jonathan Kagan, et al.. (1995). Standardization of absolute CD4⁺ lymphocyte counts across laboratories: An evaluation of the ortho CytoronAbsolute flow cytometry system on normal donors. Cytometry. 22(3). 200–210. 48 indexed citations

19.

Mercolino, Thomas J., et al.. (1995). Immunologic differentiation of absolute lymphocyte count with an integrated flow cytometric system: A new concept for absolute T cell subset determinations. Cytometry. 22(1). 48–59. 54 indexed citations

20.

Connelly, Mark C., et al.. (1983). Antigenic specificity and heterogeneity of lipopolysaccharides from pyocin-sensitive and -resistant strains of Neisseria gonorrhoeae. Infection and Immunity. 41(3). 1046–1055. 16 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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