Philipp Kiewe

1.8k citations
56 papers · 1.3k · h-index 20

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • Glioma Diagnosis and Treatment 13
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 7
    • Chronic Lymphocytic Leukemia Research 7
    • Cancer Treatment and Pharmacology 8

Philipp Kiewe

53 papers receiving 1.2k citations

Peers

Philipp Kiewe
Comparison fields: 5 of 76
  • Genetics 540
  • Hematology 327
  • Neurology 384
  • Pathology and Forensic Medicine 385
  • Oncology 395
Replace James D. Phelan with:
James D. Phelan United States
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Ivana Pierri Italy
Jeannine T. Holden United States
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Margaret E. Macy United States
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Philipp Kiewe relative to James D. Phelan United States James D. Phelan's profile →
Citations per field
00.5×1.5×2.3×
James D. Phelan · 1×
Citations per year

Countries citing papers authored by Philipp Kiewe

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Kiewe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Philipp Kiewe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philipp Kiewe Line = papers co-authored together Philipp Kiewe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017204
2 2006139
3 201691
4 200991
5 200656
6 201256
7 201050
8 200845
9 200944
10 200840
11 200938
12 200836
13 201333
14 200930
15 200530
16 200328
17 200923
18 201522
19 201421
20 200820

About Philipp Kiewe

Philipp Kiewe is a scholar working on Genetics, Oncology, Neurology, Hematology and Pathology and Forensic Medicine, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include CNS Lymphoma Diagnosis and Treatment (19 papers), Lymphoma Diagnosis and Treatment (16 papers), Acute Myeloid Leukemia Research (14 papers), Glioma Diagnosis and Treatment (13 papers), Cancer Treatment and Pharmacology (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Brain Metastases and Treatment (5 papers). The work is most often cited by research in Genetics (540 citations), Hematology (327 citations), Neurology (384 citations), Pathology and Forensic Medicine (385 citations) and Oncology (395 citations). Philipp Kiewe has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Eckhard Thiel, Agnieszka Korfel, Peter Martus, Markus P. Radsak, Thomas Wolff, Aristoteles Giagounidis, Karin Mayer, Uwe Platzbecker, Kenneth M. Attie and Ulrich Germing. Their work appears in journals such as Journal of Clinical Oncology, Blood, Annals of Hematology, Annals of Oncology and Neuro-Oncology.

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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