John M. Feigert

453 citations
10 papers · 375 · h-index 7

Impact in

  • Hematology top 5%
    • Iron Metabolism and Disorders
    • Acute Myeloid Leukemia Research
    • Platelet Disorders and Treatments
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

    • Iron Metabolism and Disorders 4
    • Acute Myeloid Leukemia Research 3
    • Platelet Disorders and Treatments 2
    • Hemoglobinopathies and Related Disorders 2

John M. Feigert

10 papers receiving 354 citations

Peers

John M. Feigert
Comparison fields: 5 of 32
  • Hematology 286
  • Genetics 77
  • Oncology 42
  • Biochemistry 11
  • Toxicology 4
Replace Gerald Jäger with:
Gerald Jäger Austria
Maria Podolak‐Dawidziak Poland
Costas Tsatalas Greece
Michalis Michael Greece
Anna Maria Dejana Italy
Howard Grodman United States
Shankaranarayana Paneesha United Kingdom
Gianpaolo Marcacci Italy
Geoffrey W. Dart Australia
Maya Hacini France
John M. Feigert relative to Gerald Jäger Austria Gerald Jäger's profile →
Citations per field
00.5×2×4×6×8×9.7×
Gerald Jäger · 1×
Citations per year

Countries citing papers authored by John M. Feigert

Since Specialization
Citations

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

Fields of papers citing papers by John M. Feigert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside John M. Feigert, 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 John M. Feigert Line = papers co-authored together John M. Feigert links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012155
2 201565
3 199849
4 199035
5 200826
6 200721
7 200913
8 20105
9 20133
10 20193

About John M. Feigert

John M. Feigert is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Health Information Management, having authored 10 papers that have together received 375 indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (4 papers), Acute Myeloid Leukemia Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Platelet Disorders and Treatments (2 papers), Healthcare Policy and Management (1 paper), Lymphadenopathy Diagnosis and Analysis (1 paper) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Hematology (286 citations), Genetics (77 citations), Oncology (42 citations), Biochemistry (11 citations) and Toxicology (4 citations). John M. Feigert has collaborated with scholars based in United States. Frequent co-authors include David P. Steensma, Azra Raza, Jason Esposito, Alan F. List, Emmanuel C. Besa, Maria R. Baer, Carole S. Paley and Chao Yin. Their work appears in journals such as Blood, Annals of Internal Medicine, Journal of Clinical Oncology, Cancer Investigation and Journal of Oncology Practice.

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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