Willfried Schramm

1.5k citations
55 papers · 1.2k indexed · h-index 18

Impact in

Papers in

Willfried Schramm

55 papers receiving 1.1k citations

Peers

Willfried Schramm
Comparison fields: 5 of 118
  • Agronomy and Crop Science 385
  • Toxicology 109
  • Equine 35
  • Immunology 202
  • Small Animals 65
Replace Douglas Ormrod with:
Douglas Ormrod New Zealand
E Atkins United States
J.J. Jaroszewski Poland
B.F. Mitchell Canada
Jayne E. Ellis United Kingdom
Shannon C. Miller United States
Robin Hull United Kingdom
Marian Kane Ireland
Michel Vanhaeverbeek Belgium
Grace Chen United States
Willfried Schramm relative to Douglas Ormrod New Zealand Douglas Ormrod's profile →
Citations per field
00.5×10×16.0×
Douglas Ormrod · 1×
Citations per year

Countries citing papers authored by Willfried Schramm

Since Specialization
Citations

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

Fields of papers citing papers by Willfried Schramm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19973
2 199631
3 19946
4 199319
5 199313
6 1992140
7 19922
8 19928
9 199240
10 19927
11 199217
12 199110
13 199111
14 199117
15 199120
16 198928
17 198713
18 19865
19 19845
20 19802

About Willfried Schramm

Willfried Schramm is a scholar working on Virology, Agronomy and Crop Science, Radiology, Nuclear Medicine and Imaging, Endocrine and Autonomic Systems and Periodontics, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Advanced Biosensing Techniques and Applications (9 papers), Protein purification and stability (7 papers), Salivary Gland Disorders and Functions (7 papers), Reproductive Physiology in Livestock (6 papers), Analytical Chemistry and Chromatography (4 papers), Mass Spectrometry Techniques and Applications (4 papers) and Reproductive System and Pregnancy (4 papers). The work is most often cited by research in Agronomy and Crop Science (385 citations), Toxicology (109 citations), Equine (35 citations), Immunology (202 citations) and Small Animals (65 citations). Willfried Schramm has collaborated with scholars based in United States, Germany and Mexico. Frequent co-authors include John A. McCracken, William C. Okulicz, P. Craig, Richard H. Smith, Se‐Hwan Paek, David A. Kidwell, Gundula Voß, Georg Schramm, Richard H. Smith and Anthony Burgess‐Cassler. Their work appears in journals such as Clinical Chemistry, Analytical Biochemistry, Reproduction, Biology of Reproduction and Biotechnology and Bioengineering.

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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