H. Tegtmeyer

1.1k citations
30 papers · 915 indexed · h-index 13

H. Tegtmeyer

30 papers receiving 852 citations

Peers

H. Tegtmeyer
Comparison fields: 5 of 73
  • Immunology 329
  • Hematology 158
  • Radiology, Nuclear Medicine and Imaging 293
  • Molecular Biology 666
  • Biotechnology 52
Replace P. R. Desai with:
P. R. Desai United States
M Błaszczyk United States
M Jokinen Finland
Y Fukushi Japan
Jerry Liao United States
Nancy A. Cochran United States
M E Koshland United States
Margaret S. Dordal United States
Taj S. Mattu United Kingdom
T Taniguchi Japan
H. Tegtmeyer relative to P. R. Desai United States P. R. Desai's profile →
Citations per field
00.5×1.5×
P. R. Desai · 1×
Citations per year

Countries citing papers authored by H. Tegtmeyer

Since Specialization
Citations

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

Fields of papers citing papers by H. Tegtmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 199467
2 199332
3
Pancarcinoma T and Tn epitopes: autoimmunogens and diagnostic markers that reveal incipient carcinomas and help establish prognosis.
199049
4 198838
5 19872
6
Further studies on the detection of early lung and breast carcinoma by T antigen.
19854
7 198564
8 19837
9 19836
10 198385
11 198227
12 19812
13 19811
14 198164
15 197998
16 19743
17 197273
18 19713
19 1966186
20 19644

About H. Tegtmeyer

H. Tegtmeyer is a scholar working on Hematology, Immunology, Endocrinology, Immunology and Allergy and Cancer Research, having authored 30 papers that have together received 915 indexed citations. Recurring topics across this work include Blood groups and transfusion (10 papers), Glycosylation and Glycoproteins Research (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Immune Cell Function and Interaction (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Immunology (329 citations), Hematology (158 citations), Radiology, Nuclear Medicine and Imaging (293 citations), Molecular Biology (666 citations) and Biotechnology (52 citations). H. Tegtmeyer has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Georg F. Springer, P. R. Desai, Yasushi Nagai, Edward F. Scanlon, Parimal R. Desai, Springer Gf, M. Satya Murthy, R. Cheingsong‐Popov, Volker Schirrmacher and Satya M. Murthy. Their work appears in journals such as Die Naturwissenschaften, Journal of Molecular Medicine, Vox Sanguinis, Cancer and British Journal of Haematology.

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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