Linda Mathews

620 total citations
9 papers, 487 citations indexed

About

Linda Mathews is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Linda Mathews has authored 9 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Hematology and 3 papers in Oncology. Recurrent topics in Linda Mathews's work include Multiple Myeloma Research and Treatments (5 papers), Cancer therapeutics and mechanisms (3 papers) and Immune Cell Function and Interaction (2 papers). Linda Mathews is often cited by papers focused on Multiple Myeloma Research and Treatments (5 papers), Cancer therapeutics and mechanisms (3 papers) and Immune Cell Function and Interaction (2 papers). Linda Mathews collaborates with scholars based in United States, United Kingdom and Australia. Linda Mathews's co-authors include John J. McCormack, Richard F. Branda, Gerald Zon, Ann L. Moore, Carlos Muro‐Cacho, Saı̈d M. Sebti, Teresita Muñoz-Antonia, Jalila Adnane, Mark Turra and R. J. Harris and has published in prestigious journals such as Blood, Cancer Research and Oncogene.

In The Last Decade

Linda Mathews

9 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linda Mathews United States	7	291	114	92	83	71	9	487
Kui Nie China	13	292 1.0×	72 0.6×	121 1.3×	75 0.9×	37 0.5×	30	674
Alexandra Veit Germany	11	138 0.5×	127 1.1×	20 0.2×	75 0.9×	26 0.4×	13	411
Srdjan M. Dragovic United States	7	261 0.9×	423 3.7×	109 1.2×	43 0.5×	35 0.5×	7	705
Grant A. Darnell Australia	9	176 0.6×	69 0.6×	102 1.1×	12 0.1×	77 1.1×	10	470
Antony Y. Matthews Australia	13	225 0.8×	287 2.5×	79 0.9×	14 0.2×	76 1.1×	17	591
Mark Buller United States	8	351 1.2×	232 2.0×	83 0.9×	13 0.2×	40 0.6×	12	684
Tirumala Kumar Chowdary India	10	243 0.8×	96 0.8×	82 0.9×	38 0.5×	63 0.9×	13	618
Debbie Nahas United States	9	323 1.1×	68 0.6×	56 0.6×	11 0.1×	28 0.4×	15	512
Jens Brandenburg Germany	7	288 1.0×	319 2.8×	62 0.7×	95 1.1×	18 0.3×	8	747
Bernd Unger Austria	9	131 0.5×	174 1.5×	32 0.3×	77 0.9×	24 0.3×	10	397

Countries citing papers authored by Linda Mathews

Since Specialization

Citations

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

Fields of papers citing papers by Linda Mathews

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Mathews

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

1.

Meads, Mark B., Bin Fang, Linda Mathews, et al.. (2015). Targeting PYK2 mediates microenvironment-specific cell death in multiple myeloma. Oncogene. 35(21). 2723–2734. 33 indexed citations

2.

Xiang, Yun, Elizabeth Remily-Wood, Vasco Oliveira, et al.. (2011). Monitoring a Nuclear Factor-κB Signature of Drug Resistance in Multiple Myeloma. Molecular & Cellular Proteomics. 10(11). M110.005520–M110.005520. 29 indexed citations

3.

Nong, Liang, Linda Mathews, Mark B. Meads, William S. Dalton, & Kenneth H. Shain. (2011). Rational Drug Design: Proteasome Inhibitor Mediated Down-Regulation of the FA/BRCA Pathway Is Synergistic with PARP Inhibition in Myeloma Cell Lines. Blood. 118(21). 2922–2922. 1 indexed citations

4.

Yarde, Danielle N., Vasco Oliveira, Linda Mathews, et al.. (2009). Targeting the Fanconi Anemia/BRCA Pathway Circumvents Drug Resistance in Multiple Myeloma. Cancer Research. 69(24). 9367–9375. 90 indexed citations

5.

Oliveira, Vasco, Linda Mathews, Danielle N. Yarde, et al.. (2007). NF-kB as a Regulator of FA/BRCA Gene Expression in Multiple Myeloma.. Blood. 110(11). 3508–3508. 1 indexed citations

6.

Marmion, B. P., et al.. (2004). Long-term persistence of Coxiella burnetii after acute primary Q fever. QJM. 98(1). 7–20. 96 indexed citations

7.

Adnane, Jalila, Carlos Muro‐Cacho, Linda Mathews, Saı̈d M. Sebti, & Teresita Muñoz-Antonia. (2002). Suppression of rho B expression in invasive carcinoma from head and neck cancer patients.. PubMed. 8(7). 2225–32. 96 indexed citations

8.

Branda, Richard F., Ann L. Moore, Linda Mathews, et al.. (1996). Amplification of antibody production by phosphorothioate oligodeoxynucleotides. Journal of Laboratory and Clinical Medicine. 128(3). 329–338. 41 indexed citations

9.

Branda, Richard F., Ann L. Moore, Linda Mathews, John J. McCormack, & Gerald Zon. (1993). Immune stimulation by an antisense oligomer complementary to the rev gene of HIV-1. Biochemical Pharmacology. 45(10). 2037–2043. 100 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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