H.J. Meiselman

2.0k citations
49 papers · 1.7k indexed · h-index 23
Topics
Blood properties and coagulation (38 papers)Erythrocyte Function and Pathophysiology (37 papers)Hemoglobinopathies and Related Disorders (11 papers)

In The Last Decade

H.J. Meiselman

48 papers receiving 1.6k citations

Peers

H.J. Meiselman
Comparison fields: 5 of 110
  • Physiology 1.0k
  • Pulmonary and Respiratory Medicine 925
  • Genetics 376
  • Hematology 298
  • Molecular Biology 217
Replace M.W. Rampling with:
M.W. Rampling United Kingdom
Tamás Alexy United States
J L Wautier France
Gregory Barshtein Israel
Paul L. LaCelle United States
R. J. Dellenback United States
MH Kroll United States
Samuel Sowemimo‐Coker United States
M. Mason Guest United States
Miklós Rábai Hungary
H.J. Meiselman relative to M.W. Rampling United Kingdom M.W. Rampling's profile →
Citations per field
00.5×3.5×
M.W. Rampling · 1×
Citations per year

Countries citing papers authored by H.J. Meiselman

Since Specialization
Citations

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

Fields of papers citing papers by H.J. Meiselman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H.J. Meiselman

This figure shows the co-authorship network connecting the top 25 collaborators of H.J. Meiselman. A scholar is included among the top collaborators of H.J. Meiselman 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.J. Meiselman. H.J. Meiselman 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
#WorkIndexed citations
1 13
2
Gel-filtration of sickle erythrocytes: separation based on cell deformability.
4
3 24
4 1
5 30
6 67
7 1
8 6
9 43
10 2
11 32
12 3
13 61
14 40
15 29
16 115
17 107
18 5
19
In vivo viscometry effect of hemo dilution
1
20 43

About H.J. Meiselman

H.J. Meiselman is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Genetics, having authored 49 papers that have together received 1.7k indexed citations. Recurring topics across this work include Blood properties and coagulation (38 papers), Erythrocyte Function and Pathophysiology (37 papers) and Hemoglobinopathies and Related Disorders (11 papers). The work is most often cited by research in Physiology (1.0k citations), Genetics (376 citations) and Pulmonary and Respiratory Medicine (925 citations). H.J. Meiselman has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Gerard B. Nash, Paul Hochstein, C. Pfafferott, R.B. Wenby, Aleksander S. Popel, Peter C. Johnson, CS Johnson, VK Kalra, Thomas D. Coates and Rupert Bauersachs. Their work appears in journals such as Circulation, Blood and Journal of Applied Physiology.

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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