M. Ingram

440 citations
17 papers · 324 · h-index 9

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Venous Thromboembolism Diagnosis and Management

Papers in

M. Ingram

16 papers receiving 276 citations

Peers

M. Ingram
Comparison fields: 5 of 77
  • Hematology 156
  • Internal Medicine 24
  • Equine 7
  • Genetics 35
  • Pulmonary and Respiratory Medicine 78
Replace Siegfried Witte with:
Siegfried Witte Germany
Raila Ehlers Germany
Delia I. Fernández Netherlands
Mary F. McGuire United States
Gery Gerritsen Netherlands
Xiaona Chang China
D. D. Porteous United States
Tian‐Yu Lian China
Kazuhiko Numano Japan
Jakob Madsen Denmark
M. Ingram relative to Siegfried Witte Germany Siegfried Witte's profile →
Citations per field
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Siegfried Witte · 1×
Citations per year

Countries citing papers authored by M. Ingram

Since Specialization
Citations

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

Fields of papers citing papers by M. Ingram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside M. Ingram, 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 M. Ingram Line = papers co-authored together M. Ingram links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1969143
2 197147
3 197034
4 196817
5 195212
6 195112
7 196911
8
Hematologic changes in mice during and after exposure to severe hypobaric hypoxia.
197510
9 19719
10 19698
11 19697
12 19644
13 19694
14 19643
15 19682
16
PLATELET SIZE DISTRIBUTION FOLLOWING X IRRADIATION
19651
17 20150

About M. Ingram

M. Ingram is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Molecular Biology, Hematology and Biomedical Engineering, having authored 17 papers that have together received 324 indexed citations. Recurring topics across this work include Blood properties and coagulation (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Digital Imaging for Blood Diseases (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Platelet Disorders and Treatments (2 papers), Hormonal Regulation and Hypertension (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Hematology (156 citations), Internal Medicine (24 citations), Equine (7 citations), Genetics (35 citations) and Pulmonary and Respiratory Medicine (78 citations). M. Ingram has collaborated with scholars based in United States. Frequent co-authors include Alexander Nakeff, S. W. Barnes, John J. Stuart, Kendall Preston, Benjamin R. Morehouse, M. Jacob Adams, Jørgen Jespersen, Edwin L. Carstensen, Carleton C. Stewart and Camilla Hartmann Friis Hansen. Their work appears in journals such as Annals of the New York Academy of Sciences, American Journal of Physiology-Legacy Content, Science, British Journal of Haematology and Experimental Biology and Medicine.

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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