H. E. Wichmann

6.7k total citations · 2 hit papers
45 papers, 3.5k citations indexed

About

H. E. Wichmann is a scholar working on Health, Toxicology and Mutagenesis, Hematology and Oncology. According to data from OpenAlex, H. E. Wichmann has authored 45 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Health, Toxicology and Mutagenesis, 9 papers in Hematology and 8 papers in Oncology. Recurrent topics in H. E. Wichmann's work include Air Quality and Health Impacts (9 papers), Climate Change and Health Impacts (6 papers) and Erythrocyte Function and Pathophysiology (5 papers). H. E. Wichmann is often cited by papers focused on Air Quality and Health Impacts (9 papers), Climate Change and Health Impacts (6 papers) and Erythrocyte Function and Pathophysiology (5 papers). H. E. Wichmann collaborates with scholars based in Germany, United States and United Kingdom. H. E. Wichmann's co-authors include Annette Peters, Joachim Heinrich, Thomas Tuch, J. Heyder, Angela Döring, Wolfgang Köenig, Markus Loeffler, Wolfgang G. Kreyling, Angela Ibald-Mulli and Christopher S. Potten and has published in prestigious journals such as New England Journal of Medicine, The Lancet and SHILAP Revista de lepidopterología.

In The Last Decade

H. E. Wichmann

43 papers receiving 3.3k citations

Hit Papers

Respiratory Effects Are Associated With the Number of Ult... 1997 2026 2006 2016 1997 1997 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
H. E. Wichmann Germany 24 2.2k 731 467 462 358 45 3.5k
Masayuki Shima Japan 36 2.6k 1.2× 867 1.2× 342 0.7× 251 0.5× 307 0.9× 208 4.2k
Niklas Berglind Sweden 28 1.9k 0.9× 508 0.7× 185 0.4× 456 1.0× 255 0.7× 48 3.5k
Sun‐Young Kim South Korea 37 3.1k 1.4× 1.2k 1.6× 514 1.1× 305 0.7× 566 1.6× 189 4.3k
Erwin Karg Germany 32 2.4k 1.1× 585 0.8× 542 1.2× 331 0.7× 472 1.3× 97 4.0k
Jeremy P. Langrish United Kingdom 29 3.0k 1.4× 944 1.3× 185 0.4× 370 0.8× 628 1.8× 63 4.8k
Kelly BéruBé United Kingdom 38 2.0k 0.9× 545 0.7× 623 1.3× 429 0.9× 639 1.8× 103 3.4k
Edward B. Rappaport United States 30 3.3k 1.5× 852 1.2× 329 0.7× 338 0.7× 562 1.6× 53 5.1k
Arthur Winer United States 22 1.5k 0.7× 542 0.7× 430 0.9× 393 0.9× 275 0.8× 42 2.6k
Domenico Maria Cavallo Italy 32 1.7k 0.8× 687 0.9× 171 0.4× 392 0.8× 229 0.6× 122 2.7k
Yue Niu China 32 2.8k 1.3× 783 1.1× 230 0.5× 100 0.2× 385 1.1× 94 3.5k

Countries citing papers authored by H. E. Wichmann

Since Specialization
Citations

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

Fields of papers citing papers by H. E. Wichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. E. Wichmann. 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 H. E. Wichmann. The network helps show where H. E. Wichmann may publish in the future.

Co-authorship network of co-authors of H. E. Wichmann

This figure shows the co-authorship network connecting the top 25 collaborators of H. E. Wichmann. A scholar is included among the top collaborators of H. E. Wichmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H. E. Wichmann. H. E. Wichmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Schneider, Alexandra, Regina Hampel, Angela Ibald-Mulli, et al.. (2010). Changes in deceleration capacity of heart rate and heart rate variability induced by ambient air pollution in individuals with coronary artery disease. Particle and Fibre Toxicology. 7(1). 29–29. 76 indexed citations
2.
Slama, Rémy, Josef Cyrys, Verena Morgenstern, et al.. (2007). Can the Selection of Subjects Living Close to Air Quality Monitoring Stations Bias Epidemiological Studies?. Epidemiology. 18(5). S53–S53. 1 indexed citations
3.
Schäfer, T., Joachim Heinrich, Eva Böhler, et al.. (2005). Allergien bei Erwachsenen. Das Gesundheitswesen. 67(S 01). 187–192. 5 indexed citations
4.
Kappos, Andreas D., Peter Brückmann, Thomas Eikmann, et al.. (2004). Health effects of particles in ambient air. International Journal of Hygiene and Environmental Health. 207(4). 399–407. 398 indexed citations
5.
Ibald-Mulli, Angela, H. E. Wichmann, Wolfgang G. Kreyling, & Annette Peters. (2002). Epidemiological Evidence on Health Effects of Ultrafine Particles. Journal of Aerosol Medicine. 15(2). 189–201. 315 indexed citations
6.
Peters, Annette, H. E. Wichmann, Thomas Tuch, Joachim Heinrich, & J. Heyder. (1997). Respiratory Effects Are Associated With the Number of Ultrafine Particles. American Journal of Respiratory and Critical Care Medicine. 155(4). 1376–1383. 1042 indexed citations breakdown →
7.
Peters, Annette, Angela Döring, H. E. Wichmann, & Wolfgang Köenig. (1997). Increased plasma viscosity during an air pollution episode: a link to mortality?. The Lancet. 349(9065). 1582–1587. 566 indexed citations breakdown →
8.
Wassmer, Gernot, RA Jörres, Joachim Heinrich, et al.. (1997). The association between baseline lung function and bronchial responsiveness to methacholine.. PubMed. 2(2). 47–54. 33 indexed citations
10.
Schmitz, Stephan, et al.. (1995). The effect of continuous G‐CSF application in human cyclic neutropenia: a model analysis. British Journal of Haematology. 90(1). 41–47. 26 indexed citations
11.
Schmitz, S., et al.. (1993). Quantification of the cell kinetic effects of G-CSF using a model of human granulopoiesis.. PubMed. 21(6). 755–60. 55 indexed citations
12.
Schmitz, S., et al.. (1990). Synchrony of bone marrow proliferation and maturation as the origin of cyclic haemopoiesis. Cell Proliferation. 23(5). 425–442. 32 indexed citations
13.
Wichmann, H. E., et al.. (1989). A mathematical model of erythropoiesis in mice and rats Part 3: Suppressed erythropoiesis. Cell Proliferation. 22(1). 51–61. 17 indexed citations
14.
Wichmann, H. E. & Markus Loeffler. (1985). Model description, irradiation, erythropoietic stimulation. CRC Press eBooks. 1 indexed citations
15.
Potten, Christopher S., et al.. (1985). Cell Kinetic Studies In the Epidermis of Mouse. Iii. the Percent Labelled Mitosis (Plm) Technique. Cell Proliferation. 18(1). 59–70. 23 indexed citations
16.
Loeffler, Markus, Peter Herkenrath, H. E. Wichmann, B. I. Lord, & Martin J. Murphy. (1984). The kinetics of hematopoietic stem cells during and after hypoxia. Annals of Hematology. 49(6). 427–439. 5 indexed citations
17.
Linker, H, et al.. (1983). Thrombopoese, Thrombozytenzahl und Thrombozytenfunktion vor und nach Zellseparation. Journal of Molecular Medicine. 61(19). 969–973. 2 indexed citations
18.
Wichmann, H. E., et al.. (1982). Influence of 3HTdR on the circadian rhythm—a model analysis for mouse epidermis. Journal of Theoretical Biology. 97(3). 371–391. 10 indexed citations
19.
Wichmann, H. E. & R. Gross. (1981). How mathematical models can interpret and predict experimental results in haematology. Journal of Molecular Medicine. 59(1). 1–4. 4 indexed citations
20.
Wichmann, H. E.. (1979). Asymptotic behavior and stability in four models of venereal disease. Journal of Mathematical Biology. 8(4). 365–373. 6 indexed citations

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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