Lola Rahib

10.4k total citations · 3 hit papers
36 papers, 7.0k citations indexed

About

Lola Rahib is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Lola Rahib has authored 36 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 17 papers in Cancer Research and 9 papers in Molecular Biology. Recurrent topics in Lola Rahib's work include Pancreatic and Hepatic Oncology Research (22 papers), Cancer Genomics and Diagnostics (16 papers) and Renal cell carcinoma treatment (7 papers). Lola Rahib is often cited by papers focused on Pancreatic and Hepatic Oncology Research (22 papers), Cancer Genomics and Diagnostics (16 papers) and Renal cell carcinoma treatment (7 papers). Lola Rahib collaborates with scholars based in United States, United Kingdom and Australia. Lola Rahib's co-authors include Lynn M. Matrisian, Julie Fleshman, Benjamin D. Smith, Allison Rosenzweig, Kevin T. Nead, Mackenzie R. Wehner, Andrew Hendifar, Subha Madhavan, Jonathan R. Brody and Michael J. Pishvaian and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Lola Rahib

33 papers receiving 6.9k citations

Hit Papers

align trajectories sort by overperformance

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.

Projecting Cancer Incidence and Deaths to 2030: The Unexpected Burden of Thyroid, Liver, and Pancreas Cancers in the United States

2014 5.1k citations Lola Rahib, Benjamin D. Smith et al. Cancer Research profile →
Estimated Projection of US Cancer Incidence and Death to 2040

2021 736 citations Lola Rahib, Lynn M. Matrisian et al. profile →
Overall survival in patients with pancreatic cancer receiving matched therapies following molecular profiling: a retrospective analysis of the Know Your Tumor registry trial

2020 327 citations Michael J. Pishvaian, Edik M. Blais et al. The Lancet Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lola Rahib United States	17	5.0k	2.2k	2.1k	1.4k	1.1k	36	7.0k
Julie Fleshman United States	5	3.8k 0.8×	1.6k 0.7×	1.5k 0.7×	1.1k 0.8×	858 0.8×	9	5.2k
Andrew Hendifar United States	44	4.7k 0.9×	2.0k 0.9×	1.4k 0.7×	998 0.7×	1.4k 1.3×	275	6.8k
Allison Rosenzweig United States	3	3.8k 0.8×	1.5k 0.7×	1.5k 0.7×	1.1k 0.8×	831 0.7×	8	5.1k
Yupei Zhao China	51	4.3k 0.9×	2.9k 1.3×	4.0k 1.9×	1.6k 1.2×	1.3k 1.2×	322	9.1k
Brian M. Wolpin United States	46	3.7k 0.7×	1.9k 0.8×	2.6k 1.3×	1.2k 0.9×	1.0k 0.9×	180	7.3k
Robert Grützmann Germany	49	5.0k 1.0×	2.1k 0.9×	3.2k 1.5×	2.3k 1.7×	1.5k 1.3×	298	8.8k
Eithne Costello United Kingdom	43	3.0k 0.6×	1.9k 0.9×	3.2k 1.5×	880 0.6×	579 0.5×	111	6.3k
Robert R. McWilliams United States	46	5.9k 1.2×	1.9k 0.8×	2.4k 1.2×	1.9k 1.4×	1.9k 1.7×	206	8.4k
Nipun B. Merchant United States	48	5.0k 1.0×	1.1k 0.5×	1.7k 0.8×	2.1k 1.5×	2.0k 1.7×	212	7.7k
Hemant M. Kocher United Kingdom	46	3.9k 0.8×	1.2k 0.5×	2.0k 1.0×	2.0k 1.5×	1.0k 0.9×	182	6.7k

Countries citing papers authored by Lola Rahib

Since Specialization

Citations

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

Fields of papers citing papers by Lola Rahib

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lola Rahib

This figure shows the co-authorship network connecting the top 25 collaborators of Lola Rahib. A scholar is included among the top collaborators of Lola Rahib 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 Lola Rahib. Lola Rahib 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

Rahib, Lola, et al.. (2025). Factors Driving Pancreatic Cancer Survival Rates. Pancreas. 54(6). e530–e536. 4 indexed citations

Rahib, Lola, William Salerno, Maisam Abu‐El‐Haija, et al.. (2024). Development of a core outcome set for recurrent acute and chronic pancreatitis: Results of a Delphi poll. Pancreatology. 24(8). 1237–1243.

McNearney, Terry A., et al.. (2023). Pre-Diagnosis Pain in Patients With Pancreatic Cancer Signals the Need for Aggressive Symptom Management. The Oncologist. 28(12). e1185–e1197. 3 indexed citations

Tsimafeyeu, Ilya & Lola Rahib. (2022). The future landscape of cancer incidence and mortality until 2036 in the Russian Federation.. Journal of Clinical Oncology. 40(16_suppl). e22518–e22518. 4 indexed citations

Rahib, Lola, David K. Chang, Davendra Sohal, et al.. (2022). Cancer Commons’ virtual tumor board program: A patient-centric advisory panel and real-world data registry.. Journal of Clinical Oncology. 40(4_suppl). 527–527. 1 indexed citations

Pishvaian, Michael J., Edik M. Blais, Jonathan R. Brody, et al.. (2020). Overall survival in patients with pancreatic cancer receiving matched therapies following molecular profiling: a retrospective analysis of the Know Your Tumor registry trial. The Lancet Oncology. 21(4). 508–518. 327 indexed citations breakdown →

Rahib, Lola, Karen Chen, Allyson J. Ocean, et al.. (2020). Use of a real-world data approach to rapidly generate outcomes data following a case study of a novel treatment combination in pancreatic adenocarcinoma.. Journal of Clinical Oncology. 38(15_suppl). e16735–e16735. 3 indexed citations

Rahib, Lola, et al.. (2020). Abstract 07: Use of a real-world data registry to rapidly generate outcomes data following a case study of a novel treatment combination in pancreatic adenocarcinoma. Clinical Cancer Research. 26(12_Supplement_1). 7–7.

Brar, Gagandeep, Edik M. Blais, R Joseph Bender, et al.. (2019). Multi-omic molecular comparison of primary versus metastatic pancreatic tumours. British Journal of Cancer. 121(3). 264–270. 23 indexed citations

10.

Pishvaian, Michael J., R Joseph Bender, Lola Rahib, et al.. (2018). Molecular Profiling of Patients with Pancreatic Cancer: Initial Results from the Know Your Tumor Initiative. Clinical Cancer Research. 24(20). 5018–5027. 149 indexed citations

11.

Pishvaian, Michael J., Jonathan R. Brody, Lynn M. Matrisian, et al.. (2016). Multi-Omic profiling (MoP) for patients (pts) with pancreatic cancer (PDA): Initial results of the Know Your Tumor (KYT) initiative.. Journal of Clinical Oncology. 34(4_suppl). 282–282. 2 indexed citations

12.

Pishvaian, Michael J., R Joseph Bender, Lynn M. Matrisian, et al.. (2016). A pilot study evaluating concordance between blood-based and patient-matched tumor molecular testing within pancreatic cancer patients participating in the Know Your Tumor (KYT) initiative. Oncotarget. 8(48). 83446–83456. 49 indexed citations

13.

Rahib, Lola, et al.. (2014). Projecting Cancer Incidence and Deaths to 2030: The Unexpected Burden of Thyroid, Liver, and Pancreas Cancers in the United States. Cancer Research. 74(11). 2913–2921. 5086 indexed citations breakdown →

14.

Rahib, Lola, et al.. (2014). Mathematical modeling of the insulin signal transduction pathway for prediction of insulin sensitivity from expression data. Molecular Genetics and Metabolism. 114(1). 66–72. 12 indexed citations

15.

Hoos, William, et al.. (2013). Pancreatic Cancer Clinical Trials and Accrual in the United States. Journal of Clinical Oncology. 31(27). 3432–3438. 48 indexed citations

16.

Rahib, Lola, et al.. (2009). Transcriptomic and network component analysis of glycerol kinase in skeletal muscle using a mouse model of glycerol kinase deficiency. Molecular Genetics and Metabolism. 96(3). 106–112. 16 indexed citations

17.

MacLennan, Nicole K., Jun Dong, Jason E. Aten, et al.. (2009). Weighted gene co-expression network analysis identifies biomarkers in glycerol kinase deficient mice. Molecular Genetics and Metabolism. 98(1-2). 203–214. 27 indexed citations

18.

Rahib, Lola, Nicole K. MacLennan, Steve Horvath, James C. Liao, & Katrina M. Dipple. (2007). Glycerol kinase deficiency alters expression of genes involved in lipid metabolism, carbohydrate metabolism, and insulin signaling. European Journal of Human Genetics. 15(6). 646–657. 51 indexed citations

19.

Sriram, Ganesh, et al.. (2007). Global metabolic effects of glycerol kinase overexpression in rat hepatoma cells. Molecular Genetics and Metabolism. 93(2). 145–159. 32 indexed citations

20.

MacLennan, Nicole K., Lola Rahib, Zixing Fang, et al.. (2005). Targeted disruption of glycerol kinase gene in mice: expression analysis in liver shows alterations in network partners related to glycerol kinase activity. Human Molecular Genetics. 15(3). 405–415. 29 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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