M. Spitz

998 citations
31 papers · 827 · h-index 17

Impact in

Papers in

M. Spitz

30 papers receiving 744 citations

Peers

M. Spitz
Comparison fields: 5 of 78
  • Cardiology and Cardiovascular Medicine 300
  • Small Animals 91
  • Infectious Diseases 194
  • Radiology, Nuclear Medicine and Imaging 238
  • Endocrinology 51
Replace Sven‐Eric Svehag with:
Sven‐Eric Svehag United States
Kôsaku Fujiwara Japan
J P Coutelier Belgium
Helmi Fijten Netherlands
F W Heessen Netherlands
Silvia A. González Argentina
J Iványi United Kingdom
Dieter Burger United States
Alexandra Potts Switzerland
M Naiki Japan
M. Spitz relative to Sven‐Eric Svehag United States Sven‐Eric Svehag's profile →
Citations per field
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Sven‐Eric Svehag · 1×
Citations per year

Countries citing papers authored by M. Spitz

Since Specialization
Citations

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

Fields of papers citing papers by M. Spitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983156
2 1984118
3 200286
4 198249
5 198443
6 198642
7 198235
8 198427
9 198226
10 200025
11 198422
12 198821
13 200220
14 198520
15 198519
16 198417
17 198516
18 198116
19 198615
20
Interleukin-2 in vivo: production of and response to interleukin-2 in lymphoid organs undergoing a primary immune response to heterologous erythrocytes.
198512

About M. Spitz

M. Spitz is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 31 papers that have together received 827 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Viral Infections and Immunology Research (9 papers), Glycosylation and Glycoproteins Research (6 papers), Viral gastroenteritis research and epidemiology (5 papers), Protein purification and stability (4 papers), T-cell and B-cell Immunology (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (300 citations), Small Animals (91 citations), Infectious Diseases (194 citations), Radiology, Nuclear Medicine and Imaging (238 citations) and Endocrinology (51 citations). M. Spitz has collaborated with scholars based in United Kingdom, Argentina and Mexico. Frequent co-authors include Robin Thorpe, Philip D. Minor, G. C. Schild, Michael A. J. Ferguson, Elsie M. Eugui, D. I. Magrath, Carlos A. Fossati, Carlos A. Velikovsky, Juliana Cassataro and Glyn Stanway. Their work appears in journals such as Journal of Immunological Methods, Journal of General Virology, Vaccine, Biochemical Journal and Nature.

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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