H. Kaufmann

2.4k total citations
71 papers, 1.7k citations indexed

About

H. Kaufmann is a scholar working on Hematology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, H. Kaufmann has authored 71 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hematology, 28 papers in Molecular Biology and 16 papers in Pathology and Forensic Medicine. Recurrent topics in H. Kaufmann's work include Multiple Myeloma Research and Treatments (31 papers), Lymphoma Diagnosis and Treatment (12 papers) and Glycosylation and Glycoproteins Research (10 papers). H. Kaufmann is often cited by papers focused on Multiple Myeloma Research and Treatments (31 papers), Lymphoma Diagnosis and Treatment (12 papers) and Glycosylation and Glycoproteins Research (10 papers). H. Kaufmann collaborates with scholars based in Austria, Germany and Switzerland. H. Kaufmann's co-authors include Johannes Drach, Jutta Ackermann, H. Huber, Sonja Seidl, Christoph Zielinski, Bruno Gottstein, Niklas Zojer, Heinz Gisslinger, Andrew Hemphill and Heinz Ludwig and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer.

In The Last Decade

H. Kaufmann

69 papers receiving 1.6k citations

Peers

H. Kaufmann
Comparison fields: 5 of 98
  • Molecular Biology 907
  • Hematology 836
  • Oncology 549
  • Genetics 334
  • Pathology and Forensic Medicine 315
Replace Joseph D. Growney with:
Joseph D. Growney United States
Rachel D. Kuns Australia
Catrina C. Fronick United States
MA Vadas Australia
Sandra K. Cooper United States
Stephen D. Smith United States
G Konwalinka Austria
Ryuichi Amakawa Japan
David Ghez France
Marianna M. Newkirk Canada
Joseph D. Growney United States View profile →
Citations per field, relative to H. Kaufmann
H. Kaufmann · 1×
Citations per year, relative to H. Kaufmann
H. Kaufmann · 1×

Countries citing papers authored by H. Kaufmann

Since Specialization
Citations

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

Fields of papers citing papers by H. Kaufmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Kaufmann

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 3
4 28
5 56
6 59
7 24
8 6
9 6
10 23
11 13
12 28
13 2
14
Expression of the lung resistance protein predicts poor outcome in patients with multiple myeloma.
39
15
Prise en compte de l'influence de la distribution des contraintes et des effets d'echelle pour une utilisation pratique en fatigue
1
16 7
17 116
18 61
19 22
20
[Experiences with the gamma teletherapy of the laryngeal and hypopharyngeal carcinomas].
1

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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