Sally Ross

3.8k total citations · 1 hit paper
17 papers, 2.8k citations indexed

About

Sally Ross is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Sally Ross has authored 17 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Sally Ross's work include Advanced Proteomics Techniques and Applications (10 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). Sally Ross is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Mass Spectrometry Techniques and Applications (5 papers). Sally Ross collaborates with scholars based in United States, Thailand and India. Sally Ross's co-authors include Lance A. Liotta, Emanuel F. Petricoin, Thomas P. Conrads, Timothy D. Veenstra, Ben A. Hitt, Vinodh N. Rajapakse, Don Johann, Michael A. Jacobetz, Yoshiya Kawaguchi and Anirban Maitra and has published in prestigious journals such as Cancer Cell, Cancer Research and Annals of the New York Academy of Sciences.

In The Last Decade

Sally Ross

17 papers receiving 2.8k 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.

Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouse

2003 1.8k citations Sunil R. Hingorani, Emanuel F. Petricoin et al. Cancer Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sally Ross United States	13	1.6k	1.5k	584	490	485	17	2.8k
Vinodh N. Rajapakse United States	21	2.0k 1.2×	2.0k 1.4×	586 1.0×	639 1.3×	185 0.4×	33	3.3k
Don Johann United States	4	1.1k 0.7×	1.3k 0.9×	547 0.9×	415 0.8×	184 0.4×	4	2.0k
Ayumu Taguchi United States	30	1.5k 0.9×	884 0.6×	518 0.9×	881 1.8×	229 0.5×	62	2.8k
José M.A. Moreira Denmark	31	1.8k 1.2×	656 0.5×	202 0.3×	670 1.4×	502 1.0×	79	2.8k
Tatjana Crnogorac‐Jurcevic United Kingdom	36	2.2k 1.4×	1.8k 1.3×	541 0.9×	1.2k 2.5×	275 0.6×	76	4.1k
Jens K. Habermann Germany	26	1.2k 0.8×	1.0k 0.7×	269 0.5×	870 1.8×	170 0.4×	91	2.6k
Rudolf Nenutil Czechia	24	1.7k 1.1×	895 0.6×	199 0.3×	919 1.9×	199 0.4×	100	2.6k
Vito Riccardo Tomaso Zanotelli Switzerland	14	2.2k 1.4×	921 0.6×	207 0.4×	466 1.0×	496 1.0×	17	3.6k
Douglas G. Ward United Kingdom	30	1.1k 0.7×	387 0.3×	502 0.9×	372 0.8×	341 0.7×	106	2.5k
Masaya Ono Japan	34	2.0k 1.2×	645 0.4×	228 0.4×	458 0.9×	317 0.7×	76	3.0k

Countries citing papers authored by Sally Ross

Since Specialization

Citations

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

Fields of papers citing papers by Sally Ross

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sally Ross

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Gorgas, Daniela, et al.. (2013). Blood vessel anomalities in the oral cavity of two calves. Zurich Open Repository and Archive (University of Zurich). 3 indexed citations

Ménard, Cynthia, Donald J. Johann, Mark S. Lowenthal, et al.. (2006). Discovering Clinical Biomarkers of Ionizing Radiation Exposure with Serum Proteomic Analysis. Cancer Research. 66(3). 1844–1850. 91 indexed citations

Geho, David, Mark Ming‐Cheng Cheng, Keith Killian, et al.. (2006). Fractionation of Serum Components Using Nanoporous Substrates. Bioconjugate Chemistry. 17(3). 654–661. 29 indexed citations

Stone, John H., Vinodh N. Rajapakse, Gary S. Hoffman, et al.. (2005). A serum proteomic approach to gauging the state of remission in Wegener's granulomatosis. Arthritis & Rheumatism. 52(3). 902–910. 33 indexed citations

Conrads, Thomas P., Vincent A. Fusaro, Sally Ross, et al.. (2004). High-resolution serum proteomic features for ovarian cancer detection.. Endocrine Related Cancer. 11(2). 163–178. 210 indexed citations

Leak, Lee V., Lance A. Liotta, Henry C. Krutzsch, et al.. (2004). Proteomic analysis of lymph. PROTEOMICS. 4(3). 753–765. 62 indexed citations

Johann, Donald J., Michael McGuigan, Amit R. Patel, et al.. (2004). Clinical Proteomics and Biomarker Discovery. Annals of the New York Academy of Sciences. 1022(1). 295–305. 76 indexed citations

Johann, Donald J., Michael McGuigan, Stanimire Tomov, et al.. (2004). Novel Approaches to Visualization and Data Mining Reveals Diagnostic Information in the Low Amplitude Region of Serum Mass Spectra from Ovarian Cancer Patients. Disease Markers. 19(4-5). 197–207. 13 indexed citations

Petricoin, Emanuel F., Eugene H. Herman, Sally Ross, et al.. (2004). Toxicoproteomics: Serum Proteomic Pattern Diagnostics for Early Detection of Drug Induced Cardiac Toxicities and Cardioprotection. Toxicologic Pathology. 32(1_suppl). 122–130. 55 indexed citations

10.

Hingorani, Sunil R., Emanuel F. Petricoin, Anirban Maitra, et al.. (2004). Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouse. Cancer Cell. 5(1). 103–103. 34 indexed citations

11.

Ornstein, David K., Walter Rayford, Vincent A. Fusaro, et al.. (2004). SERUM PROTEOMIC PROFILING CAN DISCRIMINATE PROSTATE CANCER FROM BENIGN PROSTATES IN MEN WITH TOTAL PROSTATE SPECIFIC ANTIGEN LEVELS BETWEEN 2.5 AND 15.0 NG/ML. The Journal of Urology. 172(4 Part 1). 1302–1305. 86 indexed citations

12.

Leak, Lee V., Lance A. Liotta, Henry C. Krutzsch, et al.. (2004). Proteomic analysis of lymph (Proteomics 2004, vol. 4, issue 3, pp. 753–765). PROTEOMICS. 4(5). 1519–1519. 1 indexed citations

13.

Hingorani, Sunil R., Emanuel F. Petricoin, Anirban Maitra, et al.. (2003). Preinvasive and invasive ductal pancreatic cancer and its early detection in the mouse. Cancer Cell. 4(6). 437–450. 1774 indexed citations breakdown →

14.

Mehta, Arpita, Sally Ross, Mark S. Lowenthal, et al.. (2003). Biomarker Amplification by Serum Carrier Protein Binding. Disease Markers. 19(1). 1–10. 169 indexed citations

15.

Leak, Lee V., Emanuel F. Petricoin, Michael Jones, et al.. (2002). Proteomic Technologies to Study Diseases of the Lymphatic Vascular System. Annals of the New York Academy of Sciences. 979(1). 211–228. 8 indexed citations

16.

Shou, Jianyong, Sally Ross, Hartmut Koeppen, Frédéric J. de Sauvage, & Wei‐Qiang Gao. (2001). Dynamics of notch expression during murine prostate development and tumorigenesis.. PubMed. 61(19). 7291–7. 167 indexed citations

17.

Ross, Sally, et al.. (1981). DYNAMIC FOAM: A PROBLEM IN FRACTIONATION AND DISTILLATION TOWERS. 1 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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