K. G. Blume

1.7k citations
46 papers · 1.4k indexed · 1 hit paper · h-index 17

K. G. Blume

44 papers receiving 1.3k citations

Hit Papers

The removal of leukocytes and platelets from whole blood.6711976202619922009200400600

Peers

K. G. Blume
Comparison fields: 5 of 113
  • Physiology 678
  • Hematology 199
  • Pediatrics, Perinatology and Child Health 314
  • Genetics 140
  • Cell Biology 197
Replace José A.L. Arruda with:
José A.L. Arruda United States
Herbert C. Schwartz United States
Steven Shinn‐Forng Peng Taiwan
Heidi Rossmann Germany
Margaret M. McGovern United States
N Baumann United States
W. Schröter Germany
Robert N. Fontaine United States
J. D. Firth United Kingdom
E. G. Black United Kingdom
K. G. Blume relative to José A.L. Arruda United States José A.L. Arruda's profile →
Citations per field
00.5×3.1×
José A.L. Arruda · 1×
Citations per year

Countries citing papers authored by K. G. Blume

Since Specialization
Citations

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

Fields of papers citing papers by K. G. Blume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. G. Blume. 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 K. G. Blume. The network helps show where K. G. Blume may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20227
3 20219
4 201910
5 201816
6 201550
7
Prävalenz des Metabolischen Syndroms und seiner Risikofaktoren. Ergebnisse einer großen betrieblichen Gesundheitsuntersuchung.
20142
8 201421
9 201168
10 201135
11 20101
12 201072
13
[Statistical survey on dental status and prosthetic treatment in a (West) Berlin population].
19872
14 198223
15 197421
16 197217
17
Characterization of two new variants of glucose-phosphate-isomerase deficiency with hereditary nonspherocytic hemolytic anemia.
197238
18 19704
19 197037
20 196810

About K. G. Blume

K. G. Blume is a scholar working on Biochemistry, Clinical Biochemistry and Physiology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (12 papers), Neonatal Health and Biochemistry (7 papers), Pancreatic function and diabetes (5 papers), Metabolism and Genetic Disorders (4 papers), Sulfur Compounds in Biology (4 papers), Health and Medical Studies (3 papers), Biomedical Research and Pathophysiology (3 papers) and Cardiovascular Effects of Exercise (3 papers). The work is most often cited by research in Physiology (678 citations), Hematology (199 citations) and Pediatrics, Perinatology and Child Health (314 citations). K. G. Blume has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ernest Beutler, Carol West, H. Arnold, G. W. Löhr, Martin Halle, Henner Hanssen, Arno Schmidt‐Trucksäss, Bernd Wolfarth, Konstantin Kotliar and Christian Lammel. Their work appears in journals such as The Lancet, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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