ML Rand

808 total citations
20 papers, 615 citations indexed

About

ML Rand is a scholar working on Hematology, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, ML Rand has authored 20 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 8 papers in Pulmonary and Respiratory Medicine and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in ML Rand's work include Platelet Disorders and Treatments (13 papers), Blood properties and coagulation (8 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). ML Rand is often cited by papers focused on Platelet Disorders and Treatments (13 papers), Blood properties and coagulation (8 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). ML Rand collaborates with scholars based in Canada, Switzerland and United Kingdom. ML Rand's co-authors include MA Packham, J. F. Mustard, J. Greenberg, RL Kinlough-Rathbone, MA Guccione, H. J. Reimers, Marian A. Packham, D J Ringler, Jeffrey S. Warren and Walter Newman and has published in prestigious journals such as Blood, Biochemical Journal and Thrombosis and Haemostasis.

In The Last Decade

ML Rand

19 papers receiving 577 citations

Peers

ML Rand
Comparison fields: 5 of 73
  • Hematology 314
  • Cardiology and Cardiovascular Medicine 131
  • Pulmonary and Respiratory Medicine 123
  • Surgery 87
  • Immunology 79
Replace G Blaskó with:
G Blaskó Hungary
HP Schwarz Austria
Jessica Hirsch United States
J Hauert Switzerland
Yoshitaka Hosaka Japan
James McKenney United States
I. A. G. Reilly United Kingdom
H. J. Reimers Canada
Kjell Sverre Galdal Norway
Harold A. Wurzel United States
G Blaskó Hungary View profile →
Citations per field, relative to ML Rand
ML Rand · 1×
Citations per year, relative to ML Rand
ML Rand · 1×

Countries citing papers authored by ML Rand

Since Specialization
Citations

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

Fields of papers citing papers by ML Rand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of ML Rand

This figure shows the co-authorship network connecting the top 25 collaborators of ML Rand. A scholar is included among the top collaborators of ML Rand 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 ML Rand. ML Rand 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 13
3 26
4
Inhibition of T cell recruitment and cutaneous delayed-type hypersensitivity-induced inflammation with antibodies to monocyte chemoattractant protein-1.
74
5 5
6 9
7 43
8 33
9 33
10 60
11 41
12 6
13 28
14 1
15 4
16 51
17 68
18 8
19 29
20 82

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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