G Schwab

2.8k citations
23 papers · 2.3k indexed · 1 hit paper · h-index 16
Topics
Neutropenia and Cancer Infections (8 papers)Blood disorders and treatments (4 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)

In The Last Decade

G Schwab

23 papers receiving 2.2k citations

Hit Papers

A c-myc antisense oligodeoxynucleotide inhibits entry int...19872026200020131987100200300400500

Peers

G Schwab
Comparison fields: 5 of 102
  • Oncology 1.0k
  • Molecular Biology 988
  • Hematology 566
  • Genetics 446
  • Immunology 390
Replace Rose Ann Padua with:
Rose Ann Padua United Kingdom
Roberta Riccioni Italy
Eugenio Gallo Italy
M Stetler-Stevenson United States
M Jourdan France
Valérie Gouilleux‐Gruart France
Françoise Porteu France
Utz Krug Germany
Miriam Erlacher Germany
Hiroya Asou Japan
G Schwab relative to Rose Ann Padua United Kingdom Rose Ann Padua's profile →
Citations per field
00.5×1.6×
Rose Ann Padua · 1×
Citations per year

Countries citing papers authored by G Schwab

Since Specialization
Citations

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

Fields of papers citing papers by G Schwab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G Schwab

This figure shows the co-authorship network connecting the top 25 collaborators of G Schwab. A scholar is included among the top collaborators of G Schwab 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 G Schwab. G Schwab 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
#WorkIndexed citations
1 13
2 98
3 15
4 44
5 3
6 34
7 197
8 6
9 201
10 94
11 29
12 28
13 14
14 8
15 130
16
Benzoquinonoid ansamycins possess selective tumoricidal activity unrelated to src kinase inhibition.
149
17 157
18
Expression of the interleukin 6 receptor and interleukin 6 in prostate carcinoma cells.
135
19
c-myc protein in normal tissue. Effects of fixation on its apparent subcellular distribution.
68
20
A c-myc antisense oligodeoxynucleotide inhibits entry into S phase but not progress from G0 to G1breakdown →
592

About G Schwab

G Schwab is a scholar working on Hematology, Oncology and Toxicology, having authored 23 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (8 papers), Blood disorders and treatments (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Hematology (566 citations), Oncology (1.0k citations) and Immunology (390 citations). G Schwab has collaborated with scholars based in United States, Germany and France. Frequent co-authors include L M Neckers, Shee Loong Loke, D H Pluznik, Leonard Μ. Neckers, Rosemary Watt, Eric Wickstrom, Reino Heikkilä, Pamela Lockbaum, Lorin Roskos and Bingbing Yang. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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