Alexander B. Pine

2.7k total citations
19 papers, 250 citations indexed

About

Alexander B. Pine is a scholar working on Hematology, Infectious Diseases and Oncology. According to data from OpenAlex, Alexander B. Pine has authored 19 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 5 papers in Infectious Diseases and 5 papers in Oncology. Recurrent topics in Alexander B. Pine's work include Acute Myeloid Leukemia Research (5 papers), COVID-19 Clinical Research Studies (5 papers) and CAR-T cell therapy research (2 papers). Alexander B. Pine is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), COVID-19 Clinical Research Studies (5 papers) and CAR-T cell therapy research (2 papers). Alexander B. Pine collaborates with scholars based in United States and United Kingdom. Alexander B. Pine's co-authors include Alfred Ian Lee, Hyung J. Chun, George Goshua, Christina Price, Parveen Bahel, Stephanie Halene, Matthew L. Meizlish, David van Dijk, Jennifer M. Kwan and Amisha Patel and has published in prestigious journals such as Blood, PLoS Biology and Life Sciences.

In The Last Decade

Alexander B. Pine

14 papers receiving 245 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander B. Pine United States 8 109 88 53 53 44 19 250
Badder Kattih Germany 8 162 1.5× 89 1.0× 184 3.5× 40 0.8× 21 0.5× 14 467
M. Sheppard United Kingdom 3 79 0.7× 55 0.6× 40 0.8× 37 0.7× 18 0.4× 3 242
Sichao Chen China 12 228 2.1× 158 1.8× 72 1.4× 84 1.6× 14 0.3× 32 470
Abraham Edgar Gracia‐Ramos Mexico 7 139 1.3× 99 1.1× 54 1.0× 13 0.2× 30 0.7× 26 341
Irina Osiaevi Germany 6 153 1.4× 157 1.8× 33 0.6× 20 0.4× 10 0.2× 7 309
Yuko Kanbayashi Japan 11 34 0.3× 29 0.3× 27 0.5× 176 3.3× 58 1.3× 46 356
Ivette Buendía-Roldán Mexico 12 131 1.2× 58 0.7× 105 2.0× 33 0.6× 7 0.2× 52 372
Ina Lieker Germany 7 18 0.2× 95 1.1× 20 0.4× 32 0.6× 12 0.3× 12 284
Yumeko Kawano United States 10 100 0.9× 60 0.7× 43 0.8× 9 0.2× 11 0.3× 23 276
Yahveth Cantero‐Fortiz Mexico 9 52 0.5× 32 0.4× 22 0.4× 31 0.6× 55 1.3× 28 206

Countries citing papers authored by Alexander B. Pine

Since Specialization
Citations

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

Fields of papers citing papers by Alexander B. Pine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander B. Pine. 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 Alexander B. Pine. The network helps show where Alexander B. Pine may publish in the future.

Co-authorship network of co-authors of Alexander B. Pine

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

All Works

19 of 19 papers shown
2.
Kewan, Tariq, Abu‐Sayeef Mirza, Alexander B. Pine, et al.. (2023). CAR T-Related Toxicities Based on Dynamic Proteomic Profiles Identifies Risk Factors for Cytokine Release Syndrome (CRS) and Immune Effector Cell -Associated Neurotoxicity Syndrome (ICANS). Blood. 142(Supplement 1). 2132–2132. 4 indexed citations
3.
Li, Fangyong, Adrienne J. Burns, Noffar Bar, et al.. (2022). Association of iron infusion reactions with ABO blood type. European Journal Of Haematology. 109(5). 519–525.
4.
Mirza, Abu‐Sayeef, Alexander B. Pine, Etienne Léveillé, et al.. (2022). Proteomic Profiles of Cytokine Release Syndromes Following Lisocabtagene Maraleucel and Idecabtagene Vicleucel. Blood. 140(Supplement 1). 10410–10412.
5.
Wang, Stephen Y., Takehiro Takahashi, Alexander B. Pine, et al.. (2021). Challenges in interpreting cytokine data in COVID-19 affect patient care and management. PLoS Biology. 19(8). e3001373–e3001373. 8 indexed citations
6.
Chun, Hyung J., Elias Coutavas, Alexander B. Pine, et al.. (2021). Immunofibrotic drivers of impaired lung function in postacute sequelae of SARS-CoV-2 infection. JCI Insight. 6(14). 43 indexed citations
7.
Juthani, Prerak, Stephen Y. Wang, Akash Gupta, et al.. (2021). Proteomic Profiles in Patients with Thrombosis Due to COVID-19 Are Distinct from Non-COVID-19 Thrombosis. Blood. 138(Supplement 1). 777–777. 1 indexed citations
8.
Goshua, George, et al.. (2020). VWF/ADAMTS13 Ratios Are Potential Markers of Immunothrombotic Complications in Patients with COVID-19: A Cross-Sectional Study. Blood. 136(Supplement 1). 34–35. 6 indexed citations
9.
Pine, Alexander B., Maximilian Stahl, David P. Steensma, et al.. (2020). Wide variation in use and interpretation of gene mutation profiling panels among health care providers of patients with myelodysplastic syndromes: results of a large web-based survey. Leukemia & lymphoma. 61(6). 1455–1464. 4 indexed citations
10.
Pine, Alexander B., Matthew L. Meizlish, George Goshua, et al.. (2020). Circulating markers of angiogenesis and endotheliopathy in COVID‐19. Pulmonary Circulation. 10(4). 1–4. 108 indexed citations
11.
Pine, Alexander B., et al.. (2019). Getting personal with myelodysplastic syndromes: is now the right time?. Expert Review of Hematology. 12(4). 215–224. 9 indexed citations
12.
Pine, Alexander B., Maximilian Stahl, David P. Steensma, et al.. (2018). Wide Variation in Use and Interpretation of Gene Mutation Profiling Panels Among Health Care Providers of Patients with Myelodysplastic Syndromes (MDS): Results of a Large Web-Based Survey. Blood. 132(Supplement 1). 1825–1825. 2 indexed citations
13.
Shallis, Rory M., et al.. (2018). Immunosuppressive therapy in myelodysplastic syndromes: a borrowed therapy in search of the right place. Expert Review of Hematology. 11(9). 715–726. 13 indexed citations
14.
Silverman, Andrew, et al.. (2018). Atrial Fibrillation in a Patient With an Accessory Pathway. Journal of Investigative Medicine High Impact Case Reports. 6. 2735268022–2735268022.
15.
Ly, Ina, Derek H. Oakley, Alexander B. Pine, et al.. (2018). Wide Range of Clinical Outcomes in Patients with Gliomatosis Cerebri Growth Pattern: A Clinical, Radiographic, and Histopathologic Study. The Oncologist. 24(3). 402–413. 3 indexed citations
16.
Stahl, Maximilian, Alexander B. Pine, Jeanne E. Hendrickson, et al.. (2017). Beliefs and Patterns of Practice in the Management of Hyperleukocytosis and Leukostasis Among Health Care Providers for Patients with Acute Leukemia: A Large North American Web-Based Survey. 130. 1129–1129.
17.
Pine, Alexander B., Eun‐Ju Lee, Mikkael A. Sekeres, et al.. (2016). Wide variations in blood product transfusion practices among providers who care for patients with acute leukemia in the United States. Transfusion. 57(2). 289–295. 17 indexed citations
18.
Fernandez-Robles, Carlos, et al.. (2011). Use of Complementary and Alternative Medicine by Patients With Cancer. The Primary Care Companion For CNS Disorders. 13(2). 9 indexed citations
19.
Rifkin, Barry R., et al.. (1988). Calcitonin stimulates cAMP accumulation in chicken osteoclasts. Life Sciences. 42(7). 799–804. 23 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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