J Böhm

486 citations
18 papers · 362 · h-index 9

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

J Böhm

16 papers receiving 338 citations

Peers

J Böhm
Comparison fields: 5 of 66
  • Hematology 91
  • Genetics 74
  • Oncology 97
  • Rheumatology 52
  • Epidemiology 106
Replace William Koss with:
William Koss United States
Alexandra Dorn‐Beineke Germany
Jarosław Piszcz Poland
Susanne Triebel Germany
Fred V. Plapp United States
Giovanna Fabbretti Italy
Eugenio Leonardo Italy
Sumie Hiramatsu Japan
R. C. Horns United States
Alex J. Cornish United Kingdom
J Böhm relative to William Koss United States William Koss's profile →
Citations per field
00.5×
William Koss · 1×
Citations per year

Countries citing papers authored by J Böhm

Since Specialization
Citations

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

Fields of papers citing papers by J Böhm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J Böhm, 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 J Böhm Line = papers co-authored together J Böhm links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200274
2
Infrequent mutations of the p53 gene in pulmonary carcinoid tumors.
199355
3 200252
4 199448
5 200340
6 197729
7 201314
8 199312
9 19919
10 20077
11 20025
12
[Investigations on egg yolk-free diluting medium for the cryopreservation of bull spermatozoa].
19955
13 20124
14 20223
15 20243
16 20191
17 20121
18 20250

About J Böhm

J Böhm is a scholar working on Epidemiology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Oncology, having authored 18 papers that have together received 362 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Lung Cancer Research Studies (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cancer-related Molecular Pathways (2 papers), Neuroendocrine Tumor Research Advances (2 papers), Sepsis Diagnosis and Treatment (1 paper) and Glioma Diagnosis and Treatment (1 paper). The work is most often cited by research in Hematology (91 citations), Genetics (74 citations), Oncology (97 citations), Rheumatology (52 citations) and Epidemiology (106 citations). J Böhm has collaborated with scholars based in Germany, United States and Czechia. Frequent co-authors include Heinz Höfler, H Präuer, Dietmar Lohmann, Barbara Pütz, Ulrike Reich, Günther M. Keil, Rolf Knippers, Herbert Langenberger, Johannes Pleiner and Michael Wolzt. Their work appears in journals such as Journal of Clinical Pathology, European Journal of Biochemistry, European Journal of Medical Genetics, Interactive Cardiovascular and Thoracic Surgery and EClinicalMedicine.

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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