Paul Schoen

545 total citations
9 papers, 380 citations indexed

About

Paul Schoen is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Paul Schoen has authored 9 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 7 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Paul Schoen's work include Multiple Myeloma Research and Treatments (9 papers), Cancer Treatment and Pharmacology (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Paul Schoen is often cited by papers focused on Multiple Myeloma Research and Treatments (9 papers), Cancer Treatment and Pharmacology (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Paul Schoen collaborates with scholars based in United Kingdom, Switzerland and Germany. Paul Schoen's co-authors include Kwee Yong, Sebastian Gonzalez‐McQuire, Leah Fink, María‐Victoria Mateos, Michèle Cavo, Marc S. Raab, Alain Flinois, Michel Delforge, Christoph Driessen and Lionel Karlin and has published in prestigious journals such as Blood, British Journal of Haematology and European Journal Of Haematology.

In The Last Decade

Paul Schoen

9 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Schoen United Kingdom 7 351 269 208 54 14 9 380
Leah Fink Switzerland 8 379 1.1× 277 1.0× 228 1.1× 59 1.1× 14 1.0× 15 403
Faiza Zafar United States 11 447 1.3× 370 1.4× 262 1.3× 60 1.1× 21 1.5× 40 507
Kristen Detweiler‐Short United States 7 425 1.2× 458 1.7× 232 1.1× 71 1.3× 16 1.1× 12 519
Kathleen Colson United States 11 339 1.0× 363 1.3× 221 1.1× 26 0.5× 19 1.4× 21 464
Lela M. Lucy Italy 3 280 0.8× 221 0.8× 191 0.9× 32 0.6× 11 0.8× 8 308
Robin Carson United States 10 204 0.6× 138 0.5× 160 0.8× 36 0.7× 18 1.3× 33 258
Amani Kitali United States 11 245 0.7× 193 0.7× 171 0.8× 25 0.5× 8 0.6× 22 259
Katia Mancuso Italy 8 240 0.7× 162 0.6× 154 0.7× 25 0.5× 25 1.8× 39 281
Nuriet K. Khuageva Russia 8 563 1.6× 445 1.7× 384 1.8× 75 1.4× 31 2.2× 13 629
Miguel Teodoro Hernández‐Garcia Spain 6 328 0.9× 264 1.0× 168 0.8× 39 0.7× 21 1.5× 10 373

Countries citing papers authored by Paul Schoen

Since Specialization
Citations

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

Fields of papers citing papers by Paul Schoen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Schoen

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

All Works

9 of 9 papers shown
1.
Mohty, Mohamad, Michèle Cavo, Leah Fink, et al.. (2019). Understanding mortality in multiple myeloma: Findings of a European retrospective chart review. European Journal Of Haematology. 103(2). 107–115. 25 indexed citations
2.
Hájek, Roman, Michel Delforge, Marc S. Raab, et al.. (2019). Development and validation of a novel risk stratification algorithm for relapsed multiple myeloma. British Journal of Haematology. 187(4). 447–458. 7 indexed citations
3.
Raab, Marc S., Leah Fink, Paul Schoen, et al.. (2018). Evolution of multiple myeloma treatment practices in Europe from 2014 to 2016. British Journal of Haematology. 185(5). 981–984. 17 indexed citations
4.
Yong, Kwee, Sebastian Gonzalez‐McQuire, Zsolt Szabó, Paul Schoen, & Roman Hájek. (2018). The start of a new wave: Developments in proteasome inhibition in multiple myeloma. European Journal Of Haematology. 101(2). 220–236. 17 indexed citations
5.
Gonzalez‐McQuire, Sebastian, Kwee Yong, Henri Leleu, et al.. (2017). Healthcare resource utilization among patients with relapsed multiple myeloma in the UK, France, and Italy. Journal of Medical Economics. 21(5). 450–467. 16 indexed citations
6.
Hájek, Roman, Jiří Jarkovský, Walter Bouwmeester, et al.. (2016). Exploration of Survival Stratification of Patients with Multiple Myeloma after First Relapse Using Real World Data. Blood. 128(22). 2417–2417. 1 indexed citations
7.
Raab, Marc S., Michèle Cavo, Michel Delforge, et al.. (2016). Multiple myeloma: practice patterns across Europe. British Journal of Haematology. 175(1). 66–76. 77 indexed citations
8.
Yong, Kwee, Michel Delforge, Christoph Driessen, et al.. (2016). Multiple myeloma: patient outcomes in real‐world practice. British Journal of Haematology. 175(2). 252–264. 219 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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