Gerald E. Siefring

23 papers receiving 1.0k citations

Peers

Gerald E. Siefring
Comparison fields: 5 of 92
  • Immunology and Allergy 152
  • Cancer Research 229
  • Pulmonary and Respiratory Medicine 441
  • Hematology 141
  • Cell Biology 195
Replace Kenneth W. K. Watt with:
Kenneth W. K. Watt United States
Heinz Reinke Germany
Nina Gunde Cimerman Slovenia
Jürgen Langner Germany
Margaret B. Penno United States
Kohji Kasahara Japan
Gail A. Wong United States
Suzanne Crawley United States
Claude Rosenfeld France
Iwao Waga Japan
Gerald E. Siefring relative to Kenneth W. K. Watt United States Kenneth W. K. Watt's profile →
Citations per field
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Kenneth W. K. Watt · 1×
Citations per year

Countries citing papers authored by Gerald E. Siefring

Since Specialization
Citations

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

Fields of papers citing papers by Gerald E. Siefring

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980163
2 1978152
3 1981134
4 197886
5 197966
6 197663
7 197662
8 198358
9 197956
10 197954
11 198147
12 197442
13 197341
14 197834
15 198327
16 197422
17 197510
18 19838
19 20146
20 19836

About Gerald E. Siefring

Gerald E. Siefring is a scholar working on Cell Biology, Biotechnology, Hematology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Blood properties and coagulation (6 papers), Enzyme Production and Characterization (5 papers), Hemoglobin structure and function (5 papers), Protease and Inhibitor Mechanisms (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Glycosylation and Glycoproteins Research (4 papers), Pharmacological Effects and Toxicity Studies (4 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Immunology and Allergy (152 citations), Cancer Research (229 citations), Pulmonary and Respiratory Medicine (441 citations), Hematology (141 citations) and Cell Biology (195 citations). Gerald E. Siefring has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Laszlo Lorand, Francis Castellino, Linda J. Lowe‐Krentz, Pauline T. Velasco, Robert B. Credo, Nancy S. Rafferty, János Molnár, L. K. George Hsu, James M. Sodetz and Ming‐Zong Lai. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Forensic Science International, Clinical Chemistry and Analytical Biochemistry.

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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