Alva G. Sainz

1.1k total citations
10 papers, 357 citations indexed

About

Alva G. Sainz is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Alva G. Sainz has authored 10 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 3 papers in Oncology. Recurrent topics in Alva G. Sainz's work include Cancer Mechanisms and Therapy (4 papers), Mitochondrial Function and Pathology (4 papers) and interferon and immune responses (3 papers). Alva G. Sainz is often cited by papers focused on Cancer Mechanisms and Therapy (4 papers), Mitochondrial Function and Pathology (4 papers) and interferon and immune responses (3 papers). Alva G. Sainz collaborates with scholars based in United States and Germany. Alva G. Sainz's co-authors include Zheng Wu, Gerald S. Shadel, Noel A. Warfel, Andrew S. Kraft, Jin H. Song, Marcos A. Carpio, Barbara E. Ehrlich, Allison L. Brill, Rachel K. Toth and Robert E. Means and has published in prestigious journals such as The Journal of Cell Biology, Cancer Research and Oncogene.

In The Last Decade

Alva G. Sainz

9 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alva G. Sainz United States	7	259	82	70	55	53	10	357
Natália de Souza Araujo Belgium	8	240 0.9×	36 0.4×	93 1.3×	17 0.3×	38 0.7×	21	419
Anne-Claire Lavigne France	12	467 1.8×	48 0.6×	44 0.6×	28 0.5×	33 0.6×	16	558
Hirofumi Kodera Japan	9	277 1.1×	32 0.4×	17 0.2×	29 0.5×	18 0.3×	12	381
D H Crouch United Kingdom	9	448 1.7×	51 0.6×	88 1.3×	18 0.3×	56 1.1×	15	565
KP Janssen Germany	7	179 0.7×	70 0.9×	86 1.2×	46 0.8×	65 1.2×	14	379
Mariëtte P.C. van de Corput Netherlands	9	933 3.6×	45 0.5×	49 0.7×	14 0.3×	61 1.2×	10	1.1k
Cristina Ribeiro-Silva Netherlands	11	359 1.4×	20 0.2×	96 1.4×	53 1.0×	53 1.0×	17	448
Mary Truscott United States	12	423 1.6×	34 0.4×	78 1.1×	18 0.3×	181 3.4×	12	540
M. Breuer Netherlands	12	282 1.1×	55 0.7×	146 2.1×	157 2.9×	36 0.7×	18	571
Kazutaka Akagi Japan	11	216 0.8×	89 1.1×	117 1.7×	38 0.7×	116 2.2×	23	587

Countries citing papers authored by Alva G. Sainz

Since Specialization

Citations

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

Fields of papers citing papers by Alva G. Sainz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alva G. Sainz. 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 Alva G. Sainz. The network helps show where Alva G. Sainz may publish in the future.

Co-authorship network of co-authors of Alva G. Sainz

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

All Works

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10 of 10 papers shown

1.

Sainz, Alva G., et al.. (2025). Sensing within: Mitochondrial inside-out signal transduction. Cell chemical biology. 32(10). 1205–1220.

2.

Sainz, Alva G., Alexandra G Moyzis, Kailash Chandra Mangalhara, et al.. (2025). FAM43A coordinates mtDNA replication and mitochondrial biogenesis in response to mtDNA depletion. The Journal of Cell Biology. 224(3). 2 indexed citations

3.

Chauhan, Shailender S., Rachel K. Toth, Alva G. Sainz, et al.. (2021). Direct phosphorylation and stabilization of HIF-1α by PIM1 kinase drives angiogenesis in solid tumors. Oncogene. 40(32). 5142–5152. 22 indexed citations

4.

Wu, Zheng, Alva G. Sainz, & Gerald S. Shadel. (2021). Mitochondrial DNA: cellular genotoxic stress sentinel. Trends in Biochemical Sciences. 46(10). 812–821. 64 indexed citations

5.

Carpio, Marcos A., Robert E. Means, Allison L. Brill, et al.. (2021). BOK controls apoptosis by Ca2+ transfer through ER-mitochondrial contact sites. Cell Reports. 34(10). 108827–108827. 55 indexed citations

6.

Wu, Zheng, Sebastian Oeck, A. Phillip West, et al.. (2019). Mitochondrial DNA stress signalling protects the nuclear genome. Nature Metabolism. 1(12). 1209–1218. 104 indexed citations

7.

Toth, Rachel K., et al.. (2018). Abstract A011: Hypoxia-inducible PIM kinase expression promotes resistance to antiangiogenic agents in prostate cancer. Cancer Research. 78(16_Supplement). A011–A011. 1 indexed citations

8.

Toth, Rachel K., Alva G. Sainz, Neha Singh, et al.. (2017). Hypoxia-Inducible PIM Kinase Expression Promotes Resistance to Antiangiogenic Agents. Clinical Cancer Research. 24(1). 169–180. 43 indexed citations

9.

Warfel, Noel A., Alva G. Sainz, Jin H. Song, & Andrew S. Kraft. (2016). PIM Kinase Inhibitors Kill Hypoxic Tumor Cells by Reducing Nrf2 Signaling and Increasing Reactive Oxygen Species. Molecular Cancer Therapeutics. 15(7). 1637–1647. 44 indexed citations

10.

Meiklejohn, Duncan A., et al.. (2001). A Polychaete hunchback Ortholog. Developmental Biology. 235(2). 476–488. 22 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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