Hans Ackerman

4.4k citations
44 papers · 3.0k indexed · 2 hit papers · h-index 21

Hans Ackerman

42 papers receiving 2.9k citations

Hit Papers

Malaria biology and disease pathogenesis: insi...41920022026201020184008001.2k

Peers

Hans Ackerman
Comparison fields: 5 of 142
  • Genetics 1.2k
  • Immunology 528
  • Public Health, Environmental and Occupational Health 642
  • Parasitology 115
  • Genetics 180
Replace Bertrand Boisson with:
Bertrand Boisson France
Philip Awadalla Canada
Zhongde Wang United States
Xavier Montagutelli France
Stefan Krebs Germany
Chiea Chuen Khor Singapore
Matthew S. Forrest United Kingdom
Christian Clément United States
Franck Letourneur France
Makoto Hirai Japan
Hans Ackerman relative to Bertrand Boisson France Bertrand Boisson's profile →
Citations per field
00.5×1.5×
Bertrand Boisson · 1×
Citations per year

Countries citing papers authored by Hans Ackerman

Since Specialization
Citations

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

Fields of papers citing papers by Hans Ackerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20234
3 20231
4 20231
5 20221
6 20228
7 202220
8 20216
9 201828
10 20187
11 201622
12 201413
13
Malaria biology and disease pathogenesis: insights for new treatmentsbreakdown →
2013419
14 201247
15 200343
16 200321
17 200222
18 2001166
19 200136
20 2000190

About Hans Ackerman

Hans Ackerman is a scholar working on Genetics, Public Health, Environmental and Occupational Health and Immunology, having authored 44 papers that have together received 3.0k indexed citations. Recurring topics across this work include Malaria Research and Control (14 papers), Hemoglobinopathies and Related Disorders (12 papers), Mosquito-borne diseases and control (11 papers), Complement system in diseases (5 papers), Genetic Associations and Epidemiology (5 papers), Iron Metabolism and Disorders (5 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Genetics (1.2k citations), Immunology (528 citations) and Public Health, Environmental and Occupational Health (642 citations). Hans Ackerman has collaborated with scholars based in United States, United Kingdom and Gambia. Frequent co-authors include Dominic Kwiatkowski, Thomas E. Wellems, Louis H. Miller, Xin‐zhuan Su, Ryk Ward, Pardis C. Sabeti, Stacey Gabriel, Eric S. Lander, John M. Higgins and Daniel J. Richter. Their work appears in journals such as Genes and Immunity, PLoS ONE, The FASEB Journal, Human Genetics and Frontiers in Pharmacology.

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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