KM Sullivan

4.4k total citations
50 papers, 3.4k citations indexed

About

KM Sullivan is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, KM Sullivan has authored 50 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Hematology, 12 papers in Immunology and 10 papers in Oncology. Recurrent topics in KM Sullivan's work include Hematopoietic Stem Cell Transplantation (42 papers), Acute Myeloid Leukemia Research (8 papers) and T-cell and B-cell Immunology (8 papers). KM Sullivan is often cited by papers focused on Hematopoietic Stem Cell Transplantation (42 papers), Acute Myeloid Leukemia Research (8 papers) and T-cell and B-cell Immunology (8 papers). KM Sullivan collaborates with scholars based in United States, South Africa and Australia. KM Sullivan's co-authors include Rainer Storb, FR Appelbaum, H. Joachim Deeg, CD Buckner, RP Witherspoon, JE Sanders, Claudio Anasetti, KC Doney, RP Witherspoon and A Fefer and has published in prestigious journals such as Journal of Clinical Oncology, Blood and British Journal of Pharmacology.

In The Last Decade

KM Sullivan

50 papers receiving 3.2k citations

Peers

KM Sullivan
Comparison fields: 5 of 92
  • Hematology 2.7k
  • Immunology 949
  • Oncology 755
  • Public Health, Environmental and Occupational Health 599
  • Genetics 564
Replace R Storb with:
R Storb United States
JA Hansen United States
RP Witherspoon United States
BM Camitta United States
Gabriel Cividalli Israel
R Storb United States
Giovanna Giorgiani Italy
AA Rimm United States
P Neiman United States
Rakesh Mehra United States
R Storb United States View profile →
Citations per field, relative to KM Sullivan
KM Sullivan · 1×
Citations per year, relative to KM Sullivan
KM Sullivan · 1×

Countries citing papers authored by KM Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by KM Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of KM Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of KM Sullivan. A scholar is included among the top collaborators of KM Sullivan 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 KM Sullivan. KM Sullivan 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
# Work Indexed citations
1 8
2 107
3
Development of a protocol for allogeneic marrow transplantation for severe systemic sclerosis: paradigm for autoimmune disease.
14
4
RELATIONSHIP OF SERUM CYTOKINES (TNF-ALPHA, IL-1-BETA, IFN-GAMMA AND INFLAMMATION MARKERS (NEOPTERIN, BETA-2-MICROGLOBULIN, C-REACTIVE PROTEIN) TO TRANSPLANT-RELATED COMPLICATIONS AND IMMUNOGLOBULIN PROPHYLAXIS FOLLOWING ALLOGENEIC MARROW TRANSPLANTATION
1
5 91
6 1
7 53
8 50
9 49
10 64
11 273
12 86
13 8
14 118
15 8
16 3
17 8
18 1
19 30
20 2

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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