K. Bross

2.5k citations
71 papers · 2.1k · h-index 25

Impact in

Papers in

K. Bross

68 papers receiving 1.9k citations

Peers

K. Bross
Comparison fields: 5 of 80
  • Hematology 410
  • Pulmonary and Respiratory Medicine 437
  • Immunology 231
  • Oncology 240
  • Physiology 267
Replace Tom Pettersson with:
Tom Pettersson Finland
J H Vaughan United States
John D. Kemp United States
Anne-Marie O’Farrell United States
Olivier Spertini Switzerland
Jet F. M. Leeuwenberg Netherlands
Niels Ebbe Hansen Denmark
Manuel E. Kaplan United States
Mary M. DeSouza United States
Taisuke Kanaji Japan
K. Bross relative to Tom Pettersson Finland Tom Pettersson's profile →
Citations per field
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Citations per year

Countries citing papers authored by K. Bross

Since Specialization
Citations

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

Fields of papers citing papers by K. Bross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980225
2 2003126
3 1986125
4 1978120
5 1984116
6 1984109
7 198589
8 200488
9
Human macrophages can express the Hodgkin's cell-associated antigen Ki-1 (CD30).
198975
10
Interleukin 9 is expressed by primary and cultured Hodgkin and Reed-Sternberg cells.
199274
11 197270
12 198554
13 198653
14
Cytotoxic effector cell function at different stages of human monocyte-macrophage maturation.
198350
15 197344
16 197542
17 199142
18
Genetic markers in human bone marrow transplantation.
198041
19 200534
20 196331

About K. Bross

K. Bross is a scholar working on Hematology, Pulmonary and Respiratory Medicine, Immunology, Physiology and Oncology, having authored 71 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Sarcoidosis and Beryllium Toxicity Research (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Pleural and Pulmonary Diseases (5 papers), Chromosomal and Genetic Variations (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and Renal cell carcinoma treatment (4 papers). The work is most often cited by research in Hematology (410 citations), Pulmonary and Respiratory Medicine (437 citations), Immunology (231 citations), Oncology (240 citations) and Physiology (267 citations). K. Bross has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Ulrich Costabel, H Matthys, Reinhard Andreesen, Karl G. Blume, W. Krone, Albrecht Reichle, G. W. Löhr, Wayne E. Spruce, Anna Berand and Gerassimos A. Pangalis. Their work appears in journals such as CHEST Journal, Human Genetics, Annals of Hematology, Transplantation and Journal of Cancer Research and Clinical Oncology.

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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