Malte Heeg

1.0k citations
16 papers · 769 · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Psoriasis: Treatment and Pathogenesis
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology

Papers in

    • Hepatitis C virus research 5
    • Liver Diseases and Immunity 1
    • Hepatitis B Virus Studies 2
    • Herpesvirus Infections and Treatments 2

Malte Heeg

16 papers receiving 753 citations

Peers

Malte Heeg
Comparison fields: 5 of 70
  • Hepatology 231
  • Immunology 289
  • Nephrology 62
  • Epidemiology 221
  • Virology 28
Replace Philipp Lutz with:
Philipp Lutz Germany
Navjyot Hansi United Kingdom
T. Poralla Germany
Michał Abel France
Athina Voulgari United Kingdom
Masanao Matsushita Japan
M Cavaillé‐Coll United States
M.Y. Mok Hong Kong
M. Kreisler Spain
Catherine Edwards-Smith Australia
Malte Heeg relative to Philipp Lutz Germany Philipp Lutz's profile →
Citations per field
00.5×3.3×
Philipp Lutz · 1×
Citations per year

Countries citing papers authored by Malte Heeg

Since Specialization
Citations

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

Fields of papers citing papers by Malte Heeg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2005140
2 2007102
3 200597
4 200880
5 201173
6 201468
7 200067
8 200538
9 200934
10 201130
11 201317
12 20117
13 20087
14 20094
15 20143
16 20062

About Malte Heeg

Malte Heeg is a scholar working on Hepatology, Epidemiology, Immunology, Oncology and Nephrology, having authored 16 papers that have together received 769 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (2 papers), T-cell and B-cell Immunology (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Herpesvirus Infections and Treatments (2 papers), Acute Kidney Injury Research (2 papers), Immune Cell Function and Interaction (2 papers) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Hepatology (231 citations), Immunology (289 citations), Nephrology (62 citations), Epidemiology (221 citations) and Virology (28 citations). Malte Heeg has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Helmut M. Diepolder, Gerhard A. Müller, Frank Strutz, Axel Ulsenheimer, Michael Koziolek, Radovan Vasko, Roman Zachoval, Maria–Christina Jung, Winfried Schraut and Kumar Sharma. Their work appears in journals such as Gastroenterology, PLoS ONE, Hepatology, Kidney International and Cytokine.

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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