Mark Heipel

2.7k citations
13 papers · 326 · h-index 7

Impact in

  • Hematology top 10%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
    • Blood Coagulation and Thrombosis Mechanisms
    • Inflammation biomarkers and pathways

Papers in

    • CAR-T cell therapy research 6
    • Biosimilars and Bioanalytical Methods 2
    • Immune Cell Function and Interaction 2

Mark Heipel

13 papers receiving 316 citations

Peers

Mark Heipel
Comparison fields: 5 of 55
  • Hematology 136
  • Immunology 125
  • Genetics 50
  • Cancer Research 35
  • Oncology 50
Replace Lucas van Eijk with:
Lucas van Eijk Netherlands
Rénaté Bonier France
MR Halie Netherlands
Geneviève Marcoux Canada
Éva Karászi Hungary
Huw B. Thomas United Kingdom
Isabel Fernández Spain
Alisa B. Lee‐Sherick United States
Yulan Zhou China
Edward Abadir Australia
Mark Heipel relative to Lucas van Eijk Netherlands Lucas van Eijk's profile →
Citations per field
00.5×3.4×
Lucas van Eijk · 1×
Citations per year

Countries citing papers authored by Mark Heipel

Since Specialization
Citations

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

Fields of papers citing papers by Mark Heipel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2015122
2 1994107
3 199148
4 202015
5 20188
6 19887
7 20206
8 20045
9 20043
10 19992
11 20171
12 20141
13 20041

About Mark Heipel

Mark Heipel is a scholar working on Oncology, Immunology, Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 13 papers that have together received 326 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Lymphoma Diagnosis and Treatment (3 papers), Protease and Inhibitor Mechanisms (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Immune Cell Function and Interaction (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Pancreatic function and diabetes (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Hematology (136 citations), Immunology (125 citations), Genetics (50 citations), Cancer Research (35 citations) and Oncology (50 citations). Mark Heipel has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Joseph L. Kuijper, Cindy A. Sprecher, Rick D. Holly, Theodore E. Whitmore, Andrew Ching, Donald C. Foster, Janet Kramer, Francis James Grant, Xiaoting Tang and Cameron S. Brandt. Their work appears in journals such as Blood, Journal of Clinical Oncology, The Journal of Immunology, Journal of Biological Chemistry and Proceedings of the National Academy of Sciences.

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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