Michael Pitter

435 citations
8 papers · 242 · h-index 5

Impact in

    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • interferon and immune responses
    • Cancer Immunotherapy and Biomarkers

Papers in

Michael Pitter

8 papers receiving 238 citations

Peers

Michael Pitter
Comparison fields: 5 of 61
  • Immunology 159
  • Oncology 64
  • Obstetrics and Gynecology 13
  • Urology 7
  • Pediatrics, Perinatology and Child Health 20
Replace Jarosław Wejman with:
Jarosław Wejman Poland
Campbell Bryson United States
Léonce Kouakanou Germany
Jullet Han United States
Neha Singh India
Fiona Norris Australia
Scott W. Hooker United States
Haigang Ding China
Stephanie Totten United States
Xiaoshan Chai China
Michael Pitter relative to Jarosław Wejman Poland Jarosław Wejman's profile →
Citations per field
00.5×4.6×
Jarosław Wejman · 1×
Citations per year

Countries citing papers authored by Michael Pitter

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pitter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2018184
2
Phenytoin and magnesium sulfate effects on fetal heart rate tracings assessed by computer analysis.
199319
3 202416
4 20237
5 20166
6 20184
7
Radionuclide voiding cystography in intrarenal reflux detection.
19864
8 20172

About Michael Pitter

Michael Pitter is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Oncology, having authored 8 papers that have together received 242 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (2 papers), Pediatric Urology and Nephrology Studies (1 paper), Urological Disorders and Treatments (1 paper), FOXO transcription factor regulation (1 paper), Pelvic floor disorders treatments (1 paper), Medical Imaging and Pathology Studies (1 paper), Ureteral procedures and complications (1 paper) and Neonatal and fetal brain pathology (1 paper). The work is most often cited by research in Immunology (159 citations), Oncology (64 citations), Obstetrics and Gynecology (13 citations), Urology (7 citations) and Pediatrics, Perinatology and Child Health (20 citations). Michael Pitter has collaborated with scholars based in United States, Mexico and Poland. Frequent co-authors include Laurence Zitvogel, Guido Kroemer, Jitka Fučíková, Radek Špíšek, Elena García-Martínez, Lorenzo Galluzzi, Melody Smith, Kenneth A. Kappy, Michael Conley and Karolina Okła. Their work appears in journals such as OncoImmunology, American Journal of Obstetrics and Gynecology, Cells, eNeuro and Psychopharmacology.

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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